Relevant bibliographies by topics / Attributs temporels

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  2. Dissertations / Theses
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Academic literature on the topic 'Attributs temporels'

Author: Grafiati
Published: 25 May 2024

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Journal articles on the topic "Attributs temporels"

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RANDALL, D. J., H. J. HAMILTON, and R. J. HILDERMAN. "TEMPORAL GENERALIZATION WITH DOMAIN GENERALIZATION GRAPHS." International Journal of Pattern Recognition and Artificial Intelligence 13, no. 02 (March 1999): 195–217. http://dx.doi.org/10.1142/s0218001499000124.

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This paper addresses the problem of using domain generalization graphs to generalize temporal data extracted from relational databases. A domain generalization graph associated with an attribute defines a partial order which represents a set of generalization relations for the attribute. We propose formal specifications for domain generalization graphs associated with calendar (date and time) attributes. These graphs are reusable (i.e. can be used to generalize any calendar attributes), adaptable (i.e. can be extended or restricted as appropriate for particular applications), and transportable (i.e. can be used with any database containing a calendar attribute).
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Nguyen, Ha, and Wendy V. Wismer. "Temporal Sensory Profiles of Regular and Sodium-Reduced Foods Elicited by Temporal Dominance of Sensations (TDS) and Temporal Check-All-That-Apply (TCATA)." Foods 11, no. 3 (February 3, 2022): 457. http://dx.doi.org/10.3390/foods11030457.

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Temporal sensory methods can be used to highlight the impact of sodium reduction on the dynamic sensory profile of foods targeted for sodium reduction. Study aims were to compare the temporal sensory attribute profiles of regular and sodium-reduced food products elicited by TDS and TCATA, over single and multiple oral intakes. A total of 20 semi-trained participants evaluated commercially available regular and sodium-reduced canned corn, cooked ham (single intakes), potato chips and cream of mushroom soup (5 intakes) using both TDS and TCATA. Regular and sodium-reduced products differed in not only salty but also other sensory attributes, noticeably dry for chips, sweet for corn, bitter and metallic for ham, thick, creamy, sweet, and starchy for soup. TDS and TCATA provided comparable information for the key sensory attributes characterizing and differentiating the regular and sodium-reduced products. TDS profiled significant differences between samples for a larger number of attributes than TCATA, while TCATA profiles were more consistent across intakes. Multiple intakes changed the duration of attribute dominance but not the number of significantly dominant attributes in TDS profiles. The current findings provide insight for applications of temporal profiling to other food products and development of sodium-reduced foods with attribute profiles acceptable to consumers.
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Chalyi, Serhii, and Ievgen Bogatov. "METHOD OF CONSTRUCTING AN ATTRIBUTE DESCRIPTION OF THE BUSINESS PROCESS "AS IS" IN THE PROCESS APPROACH TO ENTERPRISE MANAGEMENT." EUREKA: Physics and Engineering 6 (November 30, 2018): 35–40. http://dx.doi.org/10.21303/2461-4262.2018.00786.

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The problem of constructing an attribute description of a business process with the automated formation of process models “as is” using logs of information systems in which the tracks of individual processes are not identified is considered. It is shown that to solve this problem, it is advisable to distinguish the distinctive properties of individual business processes represented by the attributes of log events. A method for constructing an attribute description of a business process is proposed. The method is based on the comparison of combinations of attributes for intervals of events of a fixed length and the subsequent selection of subsets of attributes with the same values. The method includes the steps of forming the intervals of events, constructing combinations of attributes for specified intervals, as well as calculating and subsequently averaging the weights of combinations of attributes on these intervals. The result of the method is a weight-ordered set of event attributes and their values, which takes into account the attribute and temporal aspects of the business process. The method creates conditions for a more efficient transition from functional to process management based on splitting the log into processes using the resulting attribute description and subsequent prototyping of business process models “as is” by means of process mining.
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Fujisaki, Waka, and Shin'ya Nishida. "Sensory Attribute Identification Time Cannot Explain the Common Temporal Limit of Binding Different Attributes and Modalities." i-Perception 2, no. 8 (October 2011): 758. http://dx.doi.org/10.1068/ic758.

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Wu, Bo, Xun Liang, Xiangping Zheng, and Jun Wang. "Enhancing Dynamic GCN for Node Attribute Forecasting with Meta Spatial-Temporal Learning (Student Abstract)." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 13 (June 26, 2023): 16360–61. http://dx.doi.org/10.1609/aaai.v37i13.27040.

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Node attribute forecasting has recently attracted considerable attention. Recent attempts have thus far utilize dynamic graph convolutional network (GCN) to predict future node attributes. However, few prior works have notice that the complex spatial and temporal interaction between nodes, which will hamper the performance of dynamic GCN. In this paper, we propose a new dynamic GCN model named meta-DGCN, leveraging meta spatial-temporal tasks to enhance the ability of dynamic GCN for better capturing node attributes in the future. Experiments show that meta-DGCN effectively modeling comprehensive spatio-temporal correlations between nodes and outperforms state-of-the-art baselines on various real-world datasets.
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Fan, Wenfei, Resul Tugay, Yaoshu Wang, Min Xie, and Muhammad Asif Ali. "Learning and Deducing Temporal Orders." Proceedings of the VLDB Endowment 16, no. 8 (April 2023): 1944–57. http://dx.doi.org/10.14778/3594512.3594524.

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This paper studies how to determine temporal orders on attribute values in a set of tuples that pertain to the same entity, in the absence of complete timestamps. We propose a creator-critic framework to learn and deduce temporal orders by combining deep learning and rule-based deduction, referred to as GATE (Get the lATEst). The creator of GATE trains a ranking model via deep learning, to learn temporal orders and rank attribute values based on correlations among the attributes. The critic then validates the temporal orders learned and deduces more ranked pairs by chasing the data with currency constraints; it also provides augmented training data as feedback for the creator to improve the ranking in the next round. The process proceeds until the temporal order obtained becomes stable. Using real-life and synthetic datasets, we show that GATE is able to determine temporal orders with F -measure above 80%, improving deep learning by 7.8% and rule-based methods by 34.4%.
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Colloc, Joël, Relwendé Aristide Yameogo, Peter Summons, Lilian Loubet, Jean-Bernard Cavelier, and Paul Bridier. "A Temporal Case-Based Reasoning Platform Relying on a Fuzzy Vector Spaces Object-Oriented Model and a Method to Design Knowledge Bases and Decision Support Systems in Multiple Domains." Algorithms 15, no. 2 (February 19, 2022): 66. http://dx.doi.org/10.3390/a15020066.

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Knowledge bases in complex domains must take into account many attributes describing numerous objects that are themselves components of complex objects. Temporal case-based reasoning (TCBR) requires comparing the structural evolution of component objects and their states (attribute values) at different levels of granularity. This paper provides some significant contributions to computer science. It extends a fuzzy vector space object-oriented model and method (FVSOOMM) to present a new platform and a method guideline capable of designing objects and attributes that represent timepoint knowledge objects. It shows how temporal case-based reasoning can use distances between temporal fuzzy vector functions to compare these knowledge objects’ evolution. It describes examples of interfaces that have been implemented on this new platform. These include an expert’s interface that describes a knowledge class diagram; a practitioner’s interface that instantiates domain objects and their attribute constraints; and an end-user interface to input attribute values of the real cases stored in a domain case database. This paper illustrates resultant knowledge bases in different domains, with examples of pulmonary embolism diagnosis in medicine and decision making in French municipal territorial recomposition. The paper concludes with the current limitations of the proposed model, its future perspectives and possible platform enhancements.
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Newton, Peter F. "Developmental Trends of Black Spruce Fibre Attributes in Maturing Plantations." International Journal of Forestry Research 2016 (2016): 1–12. http://dx.doi.org/10.1155/2016/7895289.

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This study assessed the temporal developmental patterns of commercially relevant fibre attributes (tracheid length and diameters, wall thickness, specific surface area, wood density, microfibril angle, fibre coarseness, and modulus of elasticity) and their interrelationships within maturing black spruce (Picea mariana (Mill.) B.S.P.) plantations. A size-based stratified random sample procedure within 5 semimature plantations located in the Canadian Boreal Forest Region was used to select 50 trees from which radial cross-sectional xylem sequences at breast-height (1.3 m) were cut and analyzed. Statistically, the graphical and linear correlation analyses indicated that the attributes exhibited significant (p≤0.05) relationships among themselves and with morphological tree characteristics. Relative variation of each annually measured attribute declined with increasing size class (basal area quintile). The transitional shifts in temporal correlation patterns occurring at the time of approximate crown closure where suggestive of intrinsic differences in juvenile and mature wood formation processes. The temporal cumulative development patterns of all 8 of the annually measured attributes varied systematically with tree size and exhibited the most rapid rates of change before the trees reached a cambial age of 20 years. At approximately 50 years after establishment, plantation mean attribute values were not dissimilar from those reported for more mature natural-origin stands.
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Altuna, Begoña, María Jesús Aranzabe, and Arantza Díaz de Ilarraza. "EusTimeML: A mark-up language for temporal information in Basque." Research in Corpus Linguistics 8 (2020): 86–104. http://dx.doi.org/10.32714/ricl.08.01.06.

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We present EusTimeML, a mark-up language for temporal information in texts written in Basque. It is compliant with the TimeML specifications, while offering some adapted attributes and attribute values in order to represent the language-specific features of Basque. In particular, alterations have been carried out for verb tense, aspect and modality coding, as well as for time expression and signal annotation. EusTimeML also provides a major extension to the existing TimeML schemes, since the attributes and values for factuality annotation have been added to the existing temporal information annotation scheme. EusTimeML has been used to annotate the EusTimeBank Corpus, the news and history narratives corpus that has been used as the gold standard in temporal information processing in Basque.
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Liu, Yaqin, Yunsi Chen, Qing He, and Qian Yu. "Cyclical Evolution of Emerging Technology Innovation Network from a Temporal Network Perspective." Systems 11, no. 2 (February 5, 2023): 82. http://dx.doi.org/10.3390/systems11020082.

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With the cyclical development of emerging technologies, in reality, the evolution dynamics of their innovation networks will inevitably show obvious time attributes. Numerous network analyses of real complex systems usually focus on static networks; however, it is difficult to describe that most real networks undergo topological evolutions over time. Temporal networks, which incorporate time attributes into traditional static network models, can more accurately depict the temporal features of network evolution. Here, we introduced the time attribute of the life cycle of emerging technology into the evolution dynamics of its innovation network, constructed an emerging technology temporal innovation network from a temporal network perspective, and established its evolution model in combination with the life cycle and key attributes of emerging technology. Based on this model, we took 5G technology as an example to conduct network evolution simulation, verified the rationality of the above model building, and analyzed the cyclical evolution dynamics of this network in various topological structures. The results show that the life cycle of emerging technology, as well as multiple knowledge attributes based on the key attributes of emerging technology, are important factors that affect network evolution by acting on node behaviors. Within this study, we provide a more realistic framework to describe the internal mechanism of the cyclical evolution of emerging technology innovation network, which can extend the research on innovation network evolution from the single topological dynamics to the topological–temporal dynamics containing time attributes and enrich the research dimensions of innovation network evolution from the perspective of temporal evolution.
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Dissertations / Theses on the topic "Attributs temporels"

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Aurégan, Pascal. "L'influence des attributs temporels sur les perceptions et les comportements du dirigeant d'entreprise." Caen, 1996. http://www.theses.fr/1996CAEN0567.

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Chinnappa, Dhivya Infant. "Extracting Possessions and Their Attributes." Thesis, University of North Texas, 2020. https://digital.library.unt.edu/ark:/67531/metadc1703436/.

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Possession is an asymmetric semantic relation between two entities, where one entity (the possessee) belongs to the other entity (the possessor). Automatically extracting possessions are useful in identifying skills, recommender systems and in natural language understanding. Possessions can be found in different communication modalities including text, images, videos, and audios. In this dissertation, I elaborate on the techniques I used to extract possessions. I begin with extracting possessions at the sentence level including the type and temporal anchors. Then, I extract the duration of possession and co-possessions (if multiple possessors possess the same entity). Next, I extract possessions from an entire Wikipedia article capturing the change of possessors over time. I extract possessions from social media including both text and images. Finally, I also present dense annotations generating possession timelines. I present separate datasets, detailed corpus analysis, and machine learning models for each task described above.
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Morati, Nicolas. "Système de détection ultra-sensible et sélectif pour le suivi de la qualité de l'air intérieur et extérieur." Electronic Thesis or Diss., Aix-Marseille, 2021. http://www.theses.fr/2021AIXM0200.

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Aujourd’hui, l’air est pollué par de nombreuses substances chimiques, difficile à identifier. Plusieurs gaz marqueurs sont caractéristiques de la pollution, comme le monoxyde de carbone (CO), l'ozone (O3) et le dioxyde d'azote (NO2). Les capteurs de gaz à base d’oxyde métallique (MOX) sont des bons candidats pour suivre en temps réel la qualité de l’air. Ils sont largement utilisés dans les dispositifs de détection de gaz portables et à faible coût. Très sensibles, stables et avec une grande durée de vie, les capteurs MOX souffrent d'un manque inhérent de sélectivité, qui peut être comblé en y intégrant de l’intelligence artificielle. Ce travail de thèse s’intéresse à la mise en œuvre de méthodes d’identification de gaz basées sur l’analyse de données expérimentales. L’objectif est de discriminer le CO, l’O3, et le NO2, avec un seul capteur, dans des conditions réelles d’utilisation (faible débit, humidité...). Pour cela, nous utilisons un capteur de gaz à base d’oxyde de tungstène (WO3) breveté par l’IM2NP et exploité sous licence mondiale par la société NANOZ. Une base de données expérimentale complète a été créée à partir d’un protocole basé sur la modulation de la température de la couche sensible. À partir de cette base de données nous avons mis en œuvre deux méthodes différentes d’extractions de paramètres : le calcul des attributs temporels et la transformée en ondelettes. Ces deux méthodes ont été évaluées sur leur capacité de discrimination des gaz grâce à l’utilisation de plusieurs familles d’algorithmes de classification tels que les machines à vecteurs de support (SVM), les K plus proches voisins (KNN), les réseaux de neurone
Today the air is polluted by many chemicals, which are in the form of a complex mixture that is difficult to identify. These marker gases include carbon monoxide (CO), ozone (O3) and nitrogen dioxide (NO2). It has therefore become imperative to design detection systems that are inexpensive, but at the same time highly sensitive and selective, in order to monitor air quality in real time. Metal Oxide gas sensors (MOX) can meet these requirements. They are used in portable and low cost gas detection devices. Very sensitive, stable and with a long lifespan, MOX sensors suffer from an inherent lack of selectivity, which can be overcome by integrating artificial intelligence. This thesis is concerned with the implementation of gas identification methods based on the analysis of experimental data. The objective is to discriminate three pollution marker gases: CO, O3, and NO2, with a single sensor, under real conditions of use, i.e. in the permanent presence of a concentration of these gases in the humid ambient air. For this, we use a tungsten oxide (WO3) gas sensor patented by IM2NP laboratory and operated under a worldwide license by the company NANOZ.A complete experimental database was created from a protocol based on temperature modulation of the sensitive layer. From this database, we implemented two different feature extraction methods: the computation of temporal attributes and the wavelet transform. These two methods were evaluated on their gas discrimination capacity thanks to the use of several families of classification algorithms, such as support vector machines (SVM), decision trees, K nearest neighbours, neural networks, etc
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Reynolds, Patrisha. "Temporal trends in grave marker attributes an analysis of headstones in Florida." Honors in the Major Thesis, University of Central Florida, 2012. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/607.

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Grave markers reflect a wealth of information and collectively epitomize society's historic, social, and economic patterns over time. Despite an abundance of cemetery research in other parts of the country, little research has been undertaken to evaluate grave marker attributes in Florida. The purpose of this research was to determine how grave marker attributes have changed over time in north-central, central, and southeast Florida. Data were collected from ten cemeteries in five counties in Florida, representing the grave markers of over 1,100 individuals. Data collection involved visiting each cemetery, photographing markers, and cataloging grave marker attributes. Attributes analyzed included marker type, marker material, epitaphs, iconographic images, memorial photographs, footstones, and kerbs. A number of important trends were noted. Marker material exhibited the clearest example of a temporal trend, shifting over time from 73% marble to 73% granite. Marker type varied greatly from upright and flat ground markers to a variety of customized markers and vaults. Cultural differences were also noted with in-ground vaults dominating traditionally black cemeteries. There were clear differences in marker style between affluent and less affluent cemeteries, with numerous hand-cast cement markers observed in less prosperous areas. Furthermore, beginning in the early 1980's there is an increase in customized laser engraved markers. Overall, Florida's cemeteries offer a rich history of the state's mortuary practices and further research should be conducted to preserve this history.
B.S.
Bachelors
Sciences
Anthropology
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Thomazini, André. "Spatial and temporal variability of CO2 dynamic and soil attributes in Maritime Antarctica." Universidade Federal de Viçosa, 2016. http://www.locus.ufv.br/handle/123456789/10391.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
A Antártica Marítima apresenta alta sensibilidade às mudanças climáticas, especialmente pelas alterações na temperatura do ar, que modificam a dinâmica do carbono e atributos do solo nos ecossistemas terrestres. Sendo assim, variáveis relacionadas ao solo (ou seja, carbono orgânico, temperatura do solo e umidade do solo), e o padrão de distribuição da vegetação, podem ser indicadores das mudanças climáticas. O objetivo deste trabalho foi investigar a relação espacial e temporal entre as trocas de carbono, o status de nutrientes do solo e seu desenvolvimento nos principais ecossistemas terrestres da Antártica Marítima. O estudo foi realizado na Península Keller e Coppermine, Ilha Rei George e Robert, respectivamente. Grids regulares foram instalados para avaliar a variabilidade espacial de atributos gerais do solo e troca de carbono em campos de liquens, musgos, liquens/musgos e locais de solo exposto, ao longo das áreas livres de gelo. Usando técnicas de geoestatística, a dependência espacial foi acessada através da modelagem do semivariograma e dimensão fractal. Amostras de solo foram coletadas em diferentes camadas para determinar alguns atributos gerais do solo. A respiração total do ecossistema, troca líquida do ecossistema e produção primária bruta foram determinadas medindo fluxos de CO 2 in situ, com um sistema automático de fechamento da câmara de medição (LI-COR Biosciences, Lincoln, NE, EUA), baseado em medições de curto e longo prazo. Os resultados indicam uma alta capacidade dos tapetes de musgos (principalmente por Sanionia uncinata), para atuar como dreno de carbono, em locais onde a umidade do solo é elevada. Por outro lado, onde o guano é depositado, a temperatura do solo é elevada, levando a um aumento da mineralização da matéria orgânica, respiração do ecossistema, atuando como fonte de carbono para a atmosfera. A dependência espacial variou entre os locais, sendo que a deposição do guano e a cobertura vegetal governam a extensão da estrutura espacial. Os valores de dimensão fractal mostraram que há uma forte relação espacial entre o carbono orgânico e o alumínio. Os solos são caracterizados principalmente pelas altas quantidades de bases e incipiente formação de argila. Em zonas com influência ornitogênica fraca, o solo é ácido e os valores de alumínio trocável são elevados, associados a uma acidez potencial elevada. A proximidade do permafrost está reduzindo a temperatura do solo, e consequentemente o número de dias de degelo. No entanto, sob o aquecimento atual, este local tende a agir progressivamente como uma fonte de CO 2 para a atmosfera. Por outro lado, mais turfeiras podem ser formadas devido derretimento de neve/gelo, armazenamento grandes quantidades de carbono. O balanço entre o ganho e perda de CO 2 precisa ser mais pesquisado na Antártica Marítima, a fim de elucidar a dinâmica atual considerando outras áreas livres de gelo.
Maritime Antarctica presents high sensitivity to climate change, especially by the alterations in air temperature, which modifies carbon dynamics and soil attributes in terrestrial ecosystems. Thus, variables related to soil (i.e. organic carbon, soil temperature and soil moisture), and vegetation distribution patterns, can represent climate change indicators. The objective of this work was to investigate the spatial and temporal relationship among carbon exchange, soil nutrient status and development in the main terrestrial ecosystems of Maritime Antarctica. The study was carried out at Keller and Coppermine Peninsula, in King George Island and Robert Island, respectively. Regular grids were installed to evaluate the spatial variability of general soil attributes and carbon exchange in lichens, mosses, lichens/mosses and bare soil sites along the ice- free areas. By using geostatistical techniques, spatial dependence was accessed through semivariogram and fractal dimension modeling. Soil was sampled at different soil layers to determine general soil attributes. Ecosystem respiration, net ecosystem exchange and gross primary production were determined by measuring CO 2 fluxes in situ with a closed automatic chamber system (LI-COR Biosciences, Lincoln, NE, USA), based on short and long-term measurements. Results indicate a high capacity of mosses carpets (especially by Sanionia uncinata) to act as a sink of carbon, where soil moisture is elevated. On the other hand, where guano is deposited, soil temperature is enhanced, leading to increase soil organic matter mineralization, ecosystem respiration, acting as a source of carbon to the atmosphere. Spatial dependence strongly varied among sites, where guano deposition and vegetation coverage are reported to drive the extension of spatial structure. Fractal dimension values showed great spatial relationship between organic carbon and aluminum. Soils are mainly characterized by the high amounts of bases and weak clay formation. In zones with weak ornithogenic influence, soil is acid and values of exchangeable aluminum are high, associated with elevated potential acidity. The proximity of permafrost is leading to lower soil temperatures, reducing the number of thaw days. However, under current climate warming, this site will progressively act as a source of CO 2 to the atmosphere. On the other hand, peatlands could be formed due snow/ice melting, storing large amounts of carbon. The balance of uptake and release of CO 2 needs to be further researched in Maritime Antarctica, to elucidate the current dynamic for other different ice-free areas.
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Desmier, Elise. "Co-evolution pattern mining in dynamic attributed graphs." Thesis, Lyon, INSA, 2014. http://www.theses.fr/2014ISAL0071/document.

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Cette thèse s'est déroulée dans le cadre du projet ANR FOSTER, "FOuille de données Spatio-Temporelles : application à la compréhension et à la surveillance de l'ERosion" (ANR-2010-COSI-012-02, 2011-2014). Dans ce contexte, nous nous sommes intéressés à la modélisation de données spatio-temporelles dans des graphes enrichis de sorte que des calculs de motifs sur de telles données permettent de formuler des hypothèses intéressantes sur les phénomènes à comprendre. Plus précisément, nous travaillons sur la fouille de motifs dans des graphes relationnels (chaque noeud est identifié de fa\c con unique), attribués (chaque noeud du graphe est décrit par des attributs qui sont ici numériques), et dynamiques (les valeurs des attributs et les relations entre les noeuds peuvent évoluer dans le temps). Nous proposons un nouveau domaine de motifs nommé motifs de co-évolution. Ce sont des triplets d'ensembles de noeuds, d'ensembles de pas de temps et d'ensembles d'attributs signés, c'est à dire des attributs associés à une tendance (croissance,décroissance). L'intérêt de ces motifs est de décrire un sous-ensemble des données qui possède un comportement spécifique et a priori intéressant pour conduire des analyses non triviales. Dans ce but, nous définissons deux types de contraintes, une contrainte sur la structure du graphe et une contrainte sur la co-évolution de la valeur des attributs portés par les noeuds. Pour confirmer la spécificité du motif par rapport au reste des données, nous définissons trois mesures de densité qui tendent à répondre à trois questions. À quel point le comportement des noeuds en dehors du motif est similaire à celui des noeuds du motif ? Quel est le comportement du motif dans le temps, est-ce qu'il apparaît soudainement ? Est-ce que les noeuds du motif ont un comportement similaire seulement sur les attributs du motif ou aussi en dehors ? Nous proposons l'utilisation d'une hiérarchie sur les attributs comme connaissance à priori de l'utilisateur afin d'obtenir des motifs plus généraux et adaptons l'ensemble des contraintes à l'utilisation de cette hiérarchie. Finalement, pour simplifier l'utilisation de l'algorithme par l'utilisateur en réduisant le nombre de seuils à fixer et pour extraire uniquement l'ensemble des motifs les plus intéressants, nous utilisons le concept de ``skyline'' réintroduit récemment dans le domaine de la fouille de données. Nous proposons ainsi trois algorithmes MINTAG, H-MINTAG et Sky-H-MINTAG qui sont complets pour extraire l'ensemble de tous les motifs qui respectent les différentes contraintes. L'étude des propriétés des contraintes (anti-monotonie, monotonie/anti-monotonie par parties) nous permet de les pousser efficacement dans les algorithmes proposés et d'obtenir ainsi des extractions sur des données réelles dans des temps raisonnables
This thesis was conducted within the project ANR FOSTER, ``Spatio-Temporal Data Mining: application to the understanding and monitoring of erosion'' (ANR-2010-COSI-012-02, 2011-2014). In this context, we are interested in the modeling of spatio- temporal data in enriched graphs so that computation of patterns on such data can be used to formulate interesting hypotheses about phenomena to understand. Specifically, we are working on pattern mining in relational graphs (each vertex is uniquely identified), attributed (each vertex of the graph is described by numerical attributes) and dynamic (attribute values and relations between vertices may change over time). We propose a new pattern domain that has been called co-evolution patterns. These are trisets of vertices, times and signed attributes, i.e., attributes associated with a trend (increasing or decreasing). The interest of these patterns is to describe a subset of the data that has a specific behaviour and a priori interesting to conduct non-trivial analysis. For this purpose, we define two types of constraints, a constraint on the structure of the graph and a constraint on the co-evolution of the value worn by vertices attributes. To confirm the specificity of the pattern with regard to the rest of the data, we define three measures of density that tend to answer to three questions. How similar is the behaviour of the vertices outside the co-evolution pattern to the ones inside it? What is the behaviour of the pattern over time, does it appear suddenly? Does the vertices of the pattern behave similarly only on the attributes of the pattern or even outside? We propose the use of a hierarchy of attributes as an a priori knowledge of the user to obtain more general patterns and we adapt the set of constraints to the use of this hierarchy. Finally, to simplify the use of the algorithm by the user by reducing the number of thresholds to be set and to extract only all the most interesting patterns, we use the concept of ``skyline'' reintroduced recently in the domain of data mining. We propose three constraint-based algorithms, called MINTAG, H-MINTAG and Sky-H-MINTAG, that are complete to extract the set of all patterns that meet the different constraints. These algorithms are based on constraints, i.e., they use the anti-monotonicity and piecewise monotonicity/anti-monotonicity properties to prune the search space and make the computation feasible in practical contexts. To validate our method, we experiment on several sets of data (graphs) created from real-world data
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Pray, Keith A. "Apriori Sets And Sequences: Mining Association Rules from Time Sequence Attributes." Link to electronic thesis, 2004. http://www.wpi.edu/Pubs/ETD/Available/etd-0506104-150831/.

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Thesis (M.S.) -- Worcester Polytechnic Institute.
Keywords: mining complex data; temporal association rules; computer system performance; stock market analysis; sleep disorder data. Includes bibliographical references (p. 79-85).
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Legrand, Jonathan. "Toward a multi-scale understanding of flower development - from auxin networks to dynamic cellular patterns." Thesis, Lyon, École normale supérieure, 2014. http://www.theses.fr/2014ENSL0947/document.

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Dans le domaine de la biologie développementale, un des principaux défis est de comprendre comment des tissus multicellulaires, à l'origine indifférenciés, peuvent engendrer des formes aussi complexes que celles d'une fleur. De part son implication dans l'organogenèse florale, l'auxine est une phytohormone majeure. Nous avons donc déterminé son réseau binaire potentiel, puis y avons appliqué des modèles de clustering de graphes s'appuyant sur les profils de connexion présentés par ces 52 facteurs de transcription (FT). Nous avons ainsi pu identifier trois groupes, proches des groupes biologiques putatifs: les facteurs de réponse à l'auxine activateurs (ARF+), répresseurs (ARF-) et les Aux/IAAs. Nous avons détecté l'auto-interaction des ARF+ et des Aux/IAA, ainsi que leur interaction, alors que les ARF- en présentent un nombre restreint. Ainsi, nous proposons un mode de compétition auxine indépendent entre ARF+ et ARF- pour la régulation transcriptionelle. Deuxièmement, nous avons modélisé l'influence des séquences de dimérisation des FT sur la structure de l'interactome en utilisant des modèles de mélange Gaussien pour graphes aléatoires. Les groupes obtenus sont proches des précédents, et les paramètres estimés nous on conduit à conclure que chaque sous-domaine peut jouer un rôle différent en fonction de leur proximité phylogénétique.Enfin, nous sommes passés à l'échelle multi-cellulaire ou, par un graphe spatio-temporel, nous avons modélisé les premiers stades du développement floral d'A. thaliana. Nous avons pu extraire des caractéristiques cellulaires (3D+t) de reconstruction d'imagerie confocale, et avons démontré la possibilité de caractériser l'identité cellulaire en utilisant des méthodes de classification hiérarchique et des arbres de Markov cachés
A striking aspect of flowering plants is that, although they seem to display a great diversity of size and shape, they are made of the same basics constituents, that is the cells. The major challenge is then to understand how multicellular tissues, originally undifferentiated, can give rise to such complex shapes. We first investigated the uncharacterised signalling network of auxin since it is a major phytohormone involved in flower organogenesis.We started by determining the potential binary network, then applied model-based graph clustering methods relying on connectivity profiles. We demonstrated that it could be summarise in three groups, closely related to putative biological groups. The characterisation of the network function was made using ordinary differential equation modelling, which was later confirmed by experimental observations.In a second time, we modelled the influence of the protein dimerisation sequences on the auxin interactome structure using mixture of linear models for random graphs. This model lead us to conclude that these groups behave differently, depending on their dimerisation sequence similarities, and that each dimerisation domains might play different roles.Finally, we changed scale to represent the observed early stages of A. thaliana flower development as a spatio-temporal property graph. Using recent improvements in imaging techniques, we could extract 3D+t cellular features, and demonstrated the possibility of identifying and characterising cellular identity on this basis. In that respect, hierarchical clustering methods and hidden Markov tree have proven successful in grouping cell depending on their feature similarities
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BANERJEE, SUMON. "Spatial and Temporal Correlation and Extracting Critical Attribute in a Three dimensional Wireless Sensor Network." University of Cincinnati / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1214590299.

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Pan, Luan. "Means to optimize soil water management through monitoring spatial and temporal variability of geophysical soil attributes." Thesis, McGill University, 2013. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=117181.

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To optimize irrigation water use, temporal and spatial sensor-based data related to soil water content were integrated. Nine locations in a 37-ha agricultural field were selected using field elevation and soil ECa maps for monitoring the soil matric potential and temperature at four depths (18, 48, 79 and 109 cm) with a wireless sensor network. Using a linear regression approach, a series of time-specific equations were developed to quantify both the temporal and spatial soil water stress status through a Water Stress Index (WSI). The WSI was estimated using soil matric potential measurements along with supplemental soil characteristics, such as site-specific soil matric potential corresponding to 25% soil water depletion that was derived based on soil physical properties. Further analysis was performed to quantify the percentage of the field that undergoes a potential shortage in water supply. These results could be used to optimize irrigation scheduling and to assess the potential for variable-rate irrigation. The second study investigated the way in which the WSI prediction quality is affected by the number and placement of temporal soil water content monitoring sites. The concept, potentially, could be used to investigate a variety of site-specific crop management strategies. It was developed to assess WSI predictability in context that the modeled relationship between WSI and spatial field data (ECa and elevation) is not perfect at any given point of time. The established regression model between ECa, field topography maps and WSI from the first study was applied to construct WSI maps representing a specific point in time in six experimental fields with different crop growing conditions located in Nebraska, USA. Artificial regression error models with different degrees of spatial structure were superimposed onto these maps to simulate actual WSI distribution across the fields. Both random and optimized monitoring site placement strategies were evaluated in terms of the ability to predict the simulated WSI maps. The results showed that it was necessary to optimize the selection when the number of monitoring sites was low. However, a random placement method was equally efficient when the number of monitoring sites was high. Careful selection of representative field areas representing significant field areas with extreme conditions should allow only 2 or 3 monitoring sites to produce results with relatively low WSI prediction error.Through the process of water management optimization, it was noted that the ability to detect site-specific water storage capacity is an important task. Since it is related to the change of soil physical properties with depth, a third study was conducted to develop a dynamic scanning of soil profile tools using a galvanic contact resistivity approach. Transmitting and receiving electrodes were configured in an equatorial dipole array. An automated scanner system has been developed and tested in the agricultural field environment with different soil profiles. While operating in the field, the distance between the current injecting and measuring pairs of rolling electrodes was varied continuously from 40 to 190 cm. The resulting scans were evaluated against 1-m deep soil profiles and that of an electromagnetic induction instrument at various depths, up to 3 m.
Pour atteindre l'utilisation optimale de l'eau d'irrigation, des données spatio-temporelles provenant de sondes et reliées au contenu en eau du sol ont été intégrées. Ainsi, dans un champ agricole de 37 hectares, neuf sites ont été sélectionnés en utilisant les cartes d'élévation et de CEa du sol afin d'assurer le suivi du potentiel matriciel et de la température du sol à quatre profondeurs (18, 48, 79 et 109 cm) avec un réseau de capteurs sans fil. Utilisant une approche de régression linéaire, une série d'équations spécifiques au temps a été développée pour quantifier l'état de stress hydrique du sol dans le temps et l'espace à l'aide d'un Indice de Stress Hydrique (ISH). L'ISH a été estimé en utilisant des mesures de potentiel matriciel du sol combiné à ses caractéristiques supplémentaires, telles que celles calculées à partir de ses propriétés physiques et du potentiel matriciel spécifique au site correspondant à un appauvrissement de 25% des eaux du sol. Une analyse additionnelle a permis de quantifier la fraction du site ayant un potentiel d'approvisionnement en eau déficitaire. Ces résultats pourraient être utilisés afin d'optimiser la planification de l'irrigation et d'évaluer le potentiel d'irrigation à débits variables.La seconde étude a permis un examen plus approfondi de la qualité de prédiction de l'ISH influencé par le nombre et l'emplacement de sites chronologiques de surveillance du contenu hydrique du sol. Le concept pouvant potentiellement être utilisé pour étudier une diversité de stratégies de gestion de cultures a été développé afin d'évaluer la prévisibilité de l'ISH en tenant compte de la relation imparfaite entre cet indice et les données spatiales à tout temps donné. Le modèle de régression établi entre la CEa, les cartes topographiques du champ et l'ISH de la première étude a été appliqué afin de construire des cartes d'ISH représentant un moment spécifique pour six champs expérimentaux sous différentes conditions de croissance au Nebraska, USA. Des modèles artificiels d'erreur de régression avec différents degrés de structure spatiale ont été superposés sur ces cartes pour simuler la distribution réelle de l'ISH à travers ces champs. Autant de stratégies aléatoires et optimisées de placement de sites de surveillance ont été évaluées en termes de leur habilité à prédire les cartes d'ISH simulées. Les résultats démontrent qu'il était nécessaire d'optimiser la sélection de sites de surveillance lorsque leur nombre était bas. Cependant, la méthode de placement aléatoire était tout aussi efficace lorsque le nombre de sites était élevé. Une sélection rigoureuse des régions du champ permettant de représenter ses aires significatives avec des conditions extrêmes devrait permettre la production de résultats ayant une erreur de prédiction de l'ISH très basse à partir de seulement deux ou trois sites de surveillance.À travers le processus d'optimisation de la gestion de l'eau, il a été noté que l'aptitude à détecter la capacité d'emmagasinement d'eau spécifique au site est une tâche importante. Puisqu'elle est liée au changement de propriétés physiques du sol avec la profondeur, la troisième étude a été menée afin de développer un outil de balayage (scan) dynamique des profils du sol en utilisant une approche de résistance du contact galvanique. Les électrodes émettrices et réceptrices ont été configurées suivant un dispositif dipôle équatorial. Un système de scanner automatisé a été développé et testé dans un environnement de terre agricole avec différents profils de sol. Lors de l'utilisation sur le terrain, la distance entre les pairs d'électrodes roulantes d'injection et de mesure variait continuellement de 40 à 190 cm. Les balayages résultants ont été évalués avec des profils de sols de 1m de profondeur, alors que ceux fait à partir d'un appareil d'induction électromagnétique ont été évalués à des profondeurs variées allant jusqu'à 3m.
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Books on the topic "Attributs temporels"

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1936-, Kennedy R. S., Armstrong Laboratory (U.S.). Aircrew Training Research Division., Essex Corporation, and United States. Dept. of the Air Force., eds. Augmentation of the basic attributes test battery with tests of temporal acuity. Mesa, Ariz: Air Force Materiel Command, Armstrong Laboratory, Human Resources Directorate, Aircrew Training Research Division, 1997.

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Lorenzo, Valla. La donation de Constantin: (sur la Donation de Constantin, à lui faussement attribuée et mensongère). Paris: Les Belles Lettres, 1993.

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Iohannes Hus: Dicta de tempore Magistro Iohanni Hus attributa II. Opera omnia XXVI B / Dubia 1. Brepols Publishers, 2012.

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Zachova, J. Iohannes Hus: Dicta de Tempore Magistro Iohanni Hus Attributa I. Opera Omnia Xxvi a / Dubia 1. Brepols Publishers, 2012.

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Jasien, Joan M., Bruce K. Shapiro, and Alexander H. Hoon. Cerebral Palsy. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199937837.003.0071.

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Cerebral palsy (CP) describes a group of disorders of movement/posture causing activity limitation that are attributed to nonprogressive disturbances in the immature brain that can change over time. The immature human brain undergoes organizational changes during intrauterine and postnatal life creating potential temporal periods of selective vulnerability to damage. Understanding the compensatory plasticity process after the brain injury may provide new insights into the pathogenesis of CP.
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Msuya, Elibariki E., Aida Cuthbert Isinika, and Fred Mawunyo Dzanku. Agricultural Intensification Response to Agricultural Input Subsidies in Tanzania: A Spatial-Temporal and Gender Perspective, 2002–15. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198799283.003.0006.

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In Tanzania, structural adjustment policies implemented during the 1980s removed all agricultural subsidies. However, declining productivity and production of maize and rice—the main food crops—forced the government to restore subsidies in 2003. This chapter examines the impact of the agricultural input subsidy programme, looking at farmers’ response to subsidized inorganic fertilizer and improved maize and rice seed—discerning gender and temporal impacts. Farmers in Iringa and Morogoro were highly responsive to the fertilizer and seed components of the input subsidy, and their response was sensitive to the magnitude of the subsidy. Farmers in Morogoro were less responsive to both technologies due to dominance of rice production. Adoption was lower for female-managed farms, with corresponding lower livelihood outcomes, attributed to lower resource endowment. It is therefore recommended that underperforming farmers, including female farm manages in lower wealth ranks, required initiative to improve their productivity and production.
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Coolen, A. C. C., A. Annibale, and E. S. Roberts. Graphs on structured spaces. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198709893.003.0010.

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This chapter moves beyond viewing nodes as homogeneous dots set on a plane. To introduce more complicated underlying space, multiplex networks (which are defined with layers of interaction on the same underlying node set) and temporal (time-dependent) networks are discussed. It shown that despite the much more complicated underlying space, many of the techniques developed in earlier chapters can be applied. Heterogeneous nodes are introduced as an extension of the stochastic block model for community structure, then extended using methods developed in earlier chapters to more general (continuous) node attributes such as fitness. The chapter closes with a discussion of the intersections and similarities between the many alternative models for capturing topological features that have been presented in the book.
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Rosik, Piotr. Świat dostępności - metody i komponenty : przykłady analiz empirycznych przestrzeni Polski = The world of accessibility : methods and components : cases of emprical analyses in Poland's space. Instytut Geografii i Przestrzennego Zagospodarowania im. Stanisława Leszczyckiego, Polska Akademia Nauk, 2021. http://dx.doi.org/10.7163/9788361590767.

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Accessibility has many facets. This study focuses on accessibility involving people’s travel, or to be more precise, on the ability to cover the distance from point A (origin) to point B (destination). Accessibility thus defined has its: (1) components (i.e. transport, land-use, individual and temporal components), (2) dimensions (i.e. travel origin and destination, distance decay, restrictions, barriers, mode of transport, extent of study area, socioeconomic and territorial cohesion, and dynamics) and (3) attributes (i.e. affordability, availability, nodal accessibility, and acceptability). The components, dimensions and attributes combine to form the world of accessibility. After having been a subject of academic writing for decades, that world has finally received its own comprehensive volume by Polish author. The book covers its topic in seven chapters. It begins with an introduction, which lays down the objectives and structure of the study and is followed by a chapter covering the definition of accessibility. Chapter 3 is devoted to the methodology of accessibility research. The fourth and longest chapter offers a review of the most important areas of the world of accessibility built around the four components and the dimensions of accessibility. Chapter 5 focuses on the attributes of accessibility, transport exclusion and access equality. Chapter 6 presents the basics of the authors’ own new model of four accessibility factors (network, spatial, travel and individual) developed in the form of a NeST box model. The volume ends with a review of the major threads and considerations of accessibility research in the immediate future, namely: (1) Big Data; (2) distance decay; (3) external spatial effects; (4) sensitivity, criticality and exposure; (5) development of new forms of transport; (6) affordability and equality; (7) long-term effects of the COVID-19 pandemic; (8) comparative analyses and evaluation using accessibility indices.
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Posner, Elliot. Financial Regulatory Cooperation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190864576.003.0003.

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This chapter explores the cross-border politics of derivatives regulation. It first shows that negotiations over implementing the agreed G20 principles vary across regulatory areas, with cooperation in derivatives regulation standing out along several dimensions: a greater reliance on US‒EU bilateralism, the duration and difficulty of managing conflicts, and the pervasiveness of misperception. Finding prominent explanations unsatisfactory, this study instead attributes the pattern of observed difference in large part to variance in the pre-crisis development of transnational institutions. Compared to banking, the relatively underdeveloped transnational institutions for the regulation of derivatives markets left public officials with few resources for managing coordination at a moment of rapid domestic regulatory reforms. This chapter’s explanation thus combines scholarly research on the temporal effects of transnational institutions with insights from inter-state approaches. It takes seriously the potential for international institutions over time to condition and structure politics—beyond their creators’ original intent.
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Dacome, Lucia. Prospero’s Tools. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198736189.003.0002.

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Chapter 1 considers the circumstances underpinning Pope Benedict XIV’s patronage of anatomy and anatomical modelling in Bologna and antiquarian display in Rome. It situates the pope’s support of anatomy in the wider context of his religious pursuits as an assessor of sanctity who saw in anatomy a powerful tool for identifying signs of holy embodiment. In particular, the chapter explores Lambertini’s patronage of anatomical modelling and practice in light of the role he attributed to anatomical knowledge in his major work on canonization, his De servorum Dei beatificatione et canonizatione beatorum (1734–8). While doing so, it construes Lambertini’s support for anatomy and anatomical displays against the broader historical canvas of post-Tridentine concerns about the cult of saints and relics, the authority of the pope, and the pontiff’s claims to jurisdiction over both the temporal and the spiritual realms.
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Book chapters on the topic "Attributs temporels"

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Hamilton, Howard J., and Dee Jay Randall. "Data Mining with Calendar Attributes." In Temporal, Spatial, and Spatio-Temporal Data Mining, 117–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45244-3_10.

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Fang, Yixiang, and Reynold Cheng. "On Attributed Community Search." In Mobility Analytics for Spatio-Temporal and Social Data, 1–21. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-73521-4_1.

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Tsatsanifos, George, Dimitris Sacharidis, and Timos Sellis. "MIDAS: Multi-attribute Indexing for Distributed Architecture Systems." In Advances in Spatial and Temporal Databases, 168–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22922-0_11.

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Graf, Franz, Hans-Peter Kriegel, Matthias Renz, and Matthias Schubert. "MARiO: Multi-Attribute Routing in Open Street Map." In Advances in Spatial and Temporal Databases, 486–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22922-0_36.

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Camossi, Elena, Elisa Bertino, Giovanna Guerrini, and Michela Bertolotto. "Adaptive Management of Multigranular Spatio-Temporal Object Attributes." In Advances in Spatial and Temporal Databases, 320–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02982-0_21.

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Idan, Lihi. "Temporal-Attribute Inference Using Dynamic Bayesian Networks." In Computational Science – ICCS 2022, 638–52. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08754-7_67.

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Ducros, Anne. "Headache Attributed to Giant Cell (Temporal) Arteritis." In Handbook of Headache, 483–91. Milano: Springer Milan, 2011. http://dx.doi.org/10.1007/978-88-470-1700-9_38.

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Reichardt, Klaus, and Luís Carlos Timm. "Spatial and Temporal Variability of SPAS Attributes: Analysis of Spatial and Temporal Series." In Soil, Plant and Atmosphere, 367–422. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19322-5_18.

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Giese, Holger, Maria Maximova, Lucas Sakizloglou, and Sven Schneider. "Metric Temporal Graph Logic over Typed Attributed Graphs." In Fundamental Approaches to Software Engineering, 282–98. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16722-6_16.

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Schmidt, Fabian, and Martin Spott. "Visualising Temporal Item Sets: Guided Drill-Down with Hierarchical Attributes." In Synergies of Soft Computing and Statistics for Intelligent Data Analysis, 533–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-33042-1_57.

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Conference papers on the topic "Attributs temporels"

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Oliver, Dev, Petko Bakalov, Sangho Kim, and Erik Hoel. "Attribute Propagation for Utilities." In SSTD '21: 17th International Symposium on Spatial and Temporal Databases. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3469830.3470907.

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Xu, Dongkuan, Wei Cheng, Dongsheng Luo, Xiao Liu, and Xiang Zhang. "Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/548.

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Node classification in graph-structured data aims to classify the nodes where labels are only available for a subset of nodes. This problem has attracted considerable research efforts in recent years. In real-world applications, both graph topology and node attributes evolve over time. Existing techniques, however, mainly focus on static graphs and lack the capability to simultaneously learn both temporal and spatial/structural features. Node classification in temporal attributed graphs is challenging for two major aspects. First, effectively modeling the spatio-temporal contextual information is hard. Second, as temporal and spatial dimensions are entangled, to learn the feature representation of one target node, it’s desirable and challenging to differentiate the relative importance of different factors, such as different neighbors and time periods. In this paper, we propose STAR, a spatio-temporal attentive recurrent network model, to deal with the above challenges. STAR extracts the vector representation of neighborhood by sampling and aggregating local neighbor nodes. It further feeds both the neighborhood representation and node attributes into a gated recurrent unit network to jointly learn the spatio-temporal contextual information. On top of that, we take advantage of the dual attention mechanism to perform a thorough analysis on the model interpretability. Extensive experiments on real datasets demonstrate the effectiveness of the STAR model.
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Ferris, John B. "Factors Affecting Perceptions of Ride Quality in Automobiles." In ASME 1999 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/imece1999-0087.

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Abstract Expert ride evaluators participated in instrumented ride appraisals to better understand the means by which a person perceives ride quality. A new process was developed by which the factors affecting a driver’s perception of ride quality are detected. The process is based on varying the exponential power to which each factor is raised and examining the resulting change in the correlation with the subjective ride quality rating. This process was used to discover the most influential factors affecting ride quality. The most influential measurement location is the driver’s seat, the most influential time derivative is jerk, and the attribute that best describes the signal is the crest factor. The most striking result is that the ISO 2631 standard was not confirmed as the basis for ride quality predictions. The ride quality was best described by temporal attributes not by spectral attributes.
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Ozdemir, Ali Ekber, and Yucel Yasar Buyuklu. "Classification temporal attribute of EMG signals." In 2012 20th Signal Processing and Communications Applications Conference (SIU). IEEE, 2012. http://dx.doi.org/10.1109/siu.2012.6204489.

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Mei, Yinan, Shaoxu Song, Yunsu Lee, Jungho Park, Soo-Hyung Kim, and Sungmin Yi. "Representing Temporal Attributes for Schema Matching." In KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3394486.3403115.

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Magallanes, Jessica, Lindsey van Gemeren, Steven Wood, and Maria-Cruz Villa-Uriol. "Analyzing Time Attributes in Temporal Event Sequences." In 2019 IEEE Visualization Conference (VIS). IEEE, 2019. http://dx.doi.org/10.1109/visual.2019.8933770.

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Xu, Bo, Zhenhai Wang, Yuyun Kang, and Yulan Wang. "Spatio-temporal context tracking with color attributes." In 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD). IEEE, 2017. http://dx.doi.org/10.1109/fskd.2017.8393361.

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Alonso, Omar, and Michael Gertz. "Clustering of search results using temporal attributes." In the 29th annual international ACM SIGIR conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1148170.1148273.

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Tutoky, G., and J. Paralic. "Modeling of collaboration social network including temporal attributes." In 2011 15th IEEE International Conference on Intelligent Engineering Systems (INES). IEEE, 2011. http://dx.doi.org/10.1109/ines.2011.5954772.

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Kvet, Michal. "Index distribution management in attribute level temporal model." In 2015 International Conference on Information and Digital Technologies (IDT). IEEE, 2015. http://dx.doi.org/10.1109/dt.2015.7222972.

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Reports on the topic "Attributs temporels"

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Askew, Ashley E., J. M. Bowker, Donald B. K. English, Stanley J. Zarnoch, and Gary T. Green. A temporal importance-performance analysis of recreation attributes on national forests: a technical document supporting the Forest Service update of the 2010 RPA Assessment. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station, 2017. http://dx.doi.org/10.2737/srs-gtr-223.

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Askew, Ashley E., J. M. Bowker, Donald B. K. English, Stanley J. Zarnoch, and Gary T. Green. A temporal importance-performance analysis of recreation attributes on national forests: a technical document supporting the Forest Service update of the 2010 RPA Assessment. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station, 2017. http://dx.doi.org/10.2737/srs-gtr-223.

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Leis, Sherry. Network scale fire atlas supports land management in national parks. Edited by Tani Hubbard. National Park Service, November 2022. http://dx.doi.org/10.36967/2295133.

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Long-term vegetation monitoring allows land managers to make treatment decisions based on data. Fire management is a commonly used approach to managing grasslands, but fire history in grasslands is challenging to record because of spatial and temporal scales and rapid ecosystem recovery. We built a seven-park fire occurrence record (fire atlas) using a geodatabase tool. Multiple sources for fire perimeters were vetted using a verification and editing process. The fire occurrence geodatabase was then used as the basis for an analysis that used buffering around monitoring site locations to determine burned status through time. The resulting products were beneficial for communicating with managers, administrators, and fire staff. Planning and education projects were also important uses of the information. Future efforts will focus on improving attribute consistency and relating vegetation trends to fire occurrence.
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Psuty, Norbert, Tanya Silveira, Andrea Habeck, Dennis Skidds, Sara Stevens, Katy Ames, and Glenn Liu. Northeast Coastal and Barrier Network geomorphological monitoring protocol: Part II ? coastal topography, version 2. National Park Service, 2024. http://dx.doi.org/10.36967/2301966.

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Coastal topography was ranked as one of the most important variables for monitoring following a review of potential vital signs in the coastal parks of the Northeast Coastal and Barrier Network (NCBN). Changes in coastal topography, whether caused by erosion or accretion, vary both spatially and temporally. Understanding these variations is key to early recognition of potential problems affecting natural and cultural resources in coastal parks. For managers, understanding spatial and temporal patterns of geomorphologic change is basic to optimal management of any coastal park because the interface of marine and land systems 1) is highly dynamic and driven by multiple forcing mechanisms, 2) results in alterations to resource patterns and dynamics at habitat and ecosystem levels, and 3) can eventually result in the loss of static resources. The establishment of local, long-term monitoring programs help us to understand the processes that are driving coastal change of beaches, dunes, and bluffs within the parks. This Coastal Topography Monitoring Protocol has been developed for use in the Northeast Coastal and Barrier Network parks. Monitoring is accomplished with survey-grade Global Positioning System (GPS)/Global Navigation Satellite Systems (GNSS) equipment that collects topographic data along pre-established transects spaced at regular intervals, augmented by more intense data-collection in areas of special concern to the parks. A network of high-quality survey control monuments (often referred to as benchmarks), used as accuracy assessment reference is located within each of the NCBN parks, providing a robust basis for long-term monitoring. Spring and/or fall surveys conducted in accordance with standard operating procedures generate coastal topography datasets that are organized and assembled by the NCBN data manager into a database for analysis and archival purposes. Dimensional parameters are measured to describe the beach-dune-bluff system, and attributes are compared and analyzed in a cross-shore and alongshore perspective, providing information about the temporal and spatial changes on beach-dune-bluff morphologies in the parks. The overall goal is to create a replicable means of data gathering that is efficient, adheres to scientific principles, and meets the management needs of the coastal parks.
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