Dissertations / Theses on the topic 'Antarctica, discovery and exploration'
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Haase, Kenneth W. "Invention and exploration in discovery." Thesis, Massachusetts Institute of Technology, 1990. http://hdl.handle.net/1721.1/14257.
Full textIncludes bibliographical references (leaves 159-161).
by Kenneth William Haase Jr.
Ph.D.
Riembau, Marc. "Exploration of the higgs sector after its discovery." Doctoral thesis, Universitat Autònoma de Barcelona, 2018. http://hdl.handle.net/10803/663947.
Full textThe discovery of the Higgs boson culminates a 40-year long hunt and completes a theoretical framework under which almost all collider data can be consistently explained. At the same time, paradoxically, the con rmation of an apparent mass gap above the electroweak scale exacerbates the problem of the electroweak hierarchy. In the search of a description of the world that simpli es the patterns and symmetries of the Standard Model, the exploration of the TeV scale and in particular the study of the Higgs boson will play a central role. In this thesis we explore the possibilities that the LHC and future colliders will bring, with particular emphasis on the determination of the Higgs self-coupling. We also consider the pair production of electroweak bosons as a probe of the Goldstone interactions in the Higgs doublet, and show its relevance as a way to improve the Z pole measurements and its interplay with other LHC searches. Finally, we focus on how the electron’s electric dipole moment can set strong constraints on models where the Higgs arises as a composite state.
Stragliotto, Monica <1989>. "Southward: an analysis of the literary productions of the Discovery and Nimrod Expeditions to Antarctica." Master's Degree Thesis, Università Ca' Foscari Venezia, 2014. http://hdl.handle.net/10579/4547.
Full textKnestrick, Matthew A. "From Florida to Antarctica: Dereplication Strategies and Chemical Investigations of Marine Organisms." Scholar Commons, 2018. https://scholarcommons.usf.edu/etd/7635.
Full textSavovic, Jelena. "Exploration of dynamic combinatorial chemistry in enzyme-inhibitor discovery." Thesis, University of Bath, 2003. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.760840.
Full textRoss, Karen C. "“Awake:” An Animated Exploration of Self-Discovery Through Mindfulness." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1471826821.
Full textHedden, Chet. "A guided exploration model of problem-solving discovery learning /." Thesis, Connect to this title online; UW restricted, 1998. http://hdl.handle.net/1773/7683.
Full textWu, Fei. "Knowledge discovery in time-series databases." Versailles-St Quentin en Yvelines, 2001. http://www.theses.fr/2001VERS0023.
Full textSt, Onge Joseph. "The Geography of Exploration: A Study in the Process of Physical Exploration and Geographical Discovery." DigitalCommons@USU, 2000. https://digitalcommons.usu.edu/etd/6581.
Full textBurlington, Michael Scott. "Search & exploration, efficient planar search for automated robotic discovery." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0031/MQ64328.pdf.
Full textBurlington, Scott M. Sc. "Search & exploration : efficient planar search for automated robotic discovery." Thesis, McGill University, 1999. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=30352.
Full textWe propose a new algorithm for planar search. The algorithm stems from theoretical work on search games, in particular provably optimal search techniques on restricted domains. This thesis addresses the problem of efficiency in robotic search: having a mobile robot find a target object in an unknown environment with obstacles in an efficient manner. As a side-effect, the robot explores the environment.
Based on previous results, a formal description of the problem is presented along with an algorithm to solve it. This algorithm has good worst-case performance, in terms of its competitive ratio. We show experimental data validating the feasibility of our approach and typical results. Quantitative results are demonstrated showing the advantage of modified spiral search versus traditional approaches.
Huffman, Ashley. "Discovery of Movement: An Exploration of Physical Activity through Architecture." University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin149130367713521.
Full textEl, Sayed Ahmed. "Contributions in knowledge discovery from textual data." Lyon 2, 2008. http://theses.univ-lyon2.fr/documents/lyon2/2008/el-sayed_a.
Full textCette thèse se focalise sur deux problématiques clés liées à la fouille de texte, à savoir : la classification et l'acquisition des connaissances. En dépit de leur relative maturité, ces deux problématiques présentent encore certains défis majeurs qui doivent être soulevés. En premier lieu, pour la classification, un défi bien connu et non résolu consiste à effectuer des classifications avec un minimum de paramètres en entrée. Une façon naturelle de parvenir à cette fin, est d'utiliser les indices de validité dans le processus de classification. Bien qu'ils soient d'un grand intérêt, les indices de validité n'ont pas été largement explorés dans la littérature, en particulier lorsqu'il s'agit de données de grande dimension, comme c'est le cas des données textuelles. Ainsi, concernant ce volet, nous proposons trois principales contributions : (1) une large étude expérimentale comparant huit indices de validité, (2) une méthode basée sur le contexte améliorant l'utilisation des indices de validité en tant que critère d'arrêt, (3) I-CBC, une version incrémentale de l'algorithme flou CBC (classification par comités). Ces contributions ont été validées sur deux applications du monde réel : la classification de documents et de mots. En deuxième lieu, pour l’acquisition des connaissances, nous nous sommes intéressés à des problématiques importantes liées à la construction d’ontologies à partir de texte : le faible rappel des approches basées sur les patrons, la faible précision de l’approche distributionnelle, la dépendance au contexte et l’évolution des ontologies. Nous proposons ainsi, un nouveau cadre pour l’apprentissage d’ontologies à partir du texte. Notre proposition est une approche hybride qui combine les avantages suivants par rapport aux autres approches : (1) la capacité de capturer avec plus de flexibilité des relations dans le texte, (2) des concepts qui traduisent mieux le contexte du corpus considéré, (3) des décisions plus fiables prises durant le processus d’apprentissage à travers la considération et l’inclusion de plusieurs relations sémantiques, et, enfin, (4) l’évolution de l’ontologie apprise sans aucun effort manuel considérable, après son inclusion au coeurd’un système de recherche d’information
El, Sayed Ahmed Zighed Djamel Abdelkader. "Contributions in knowledge discovery from textual data." Lyon : Université Lumière Lyon 2, 2008. http://theses.univ-lyon2.fr/sdx/theses/lyon2/2008/el-sayed_a.
Full textJowitt, Claire Elaine. "Old Worlds and New Worlds : Renaissance voyages of discovery." Thesis, University of Southampton, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.296146.
Full textMcCarthy, Kerry Bridgett. "Thinking with photographs at the margins of Antarctic exploration." Thesis, University of Canterbury. Gateway Antarctica, 2011. http://hdl.handle.net/10092/5242.
Full textMontano-Rivas, Omar. "Scheme-based theorem discovery and concept invention." Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/6269.
Full textBroderick, Jane Tingle, and Seong Bock Hong. "Phases of Discovery with Materials Exploration: Properties, Aesthetics, Conceptual Links and More." Digital Commons @ East Tennessee State University, 2017. https://dc.etsu.edu/etsu-works/4214.
Full textCampbell, Alexander B. "Spatio-temporal pattern discovery and hypothesis exploration using a delay reconstruction approach." Thesis, Queensland University of Technology, 2008. https://eprints.qut.edu.au/17676/1/Alexander_Campbell_Thesis.pdf.
Full textCampbell, Alexander B. "Spatio-temporal pattern discovery and hypothesis exploration using a delay reconstruction approach." Queensland University of Technology, 2008. http://eprints.qut.edu.au/17676/.
Full textBykowski, Artur. "Condensed representations of frequent sets : application to descriptive pattern discovery." Lyon, INSA, 2002. http://theses.insa-lyon.fr/publication/2002ISAL0053/these.pdf.
Full textInteresting pattern discovery has recently seen an impressive progress, due to an increasing pressure from owners of large data sets and to the response of scientists by numerous theoretical and practical results. The most of data sets addressed in the beginning of the surge were sales data and the interesting patterns were in form of association rules. Very efficient solutions to this practical problem were elaborated, the root of them was the so-called APRIORI algorithm. Then, the owners of other types of data wondered if these basic methods could help them. Unfortunately, their data were different. Often, these applications could not take advantage of APRIORI. The research following the elaboration of the basic solution addressed the important application areas, where the basic solution could not be used. We addressed the problems with mining frequent patterns in different applicative contexts, especially the problems related to the large number of interesting frequent patterns present in data that are not similar to the sales data. Our methods mine a collection of patterns that may be quite different from the target pattern collection, and hopefully much more efficient to be mined in some types of data. Moreover, that different pattern collection must allow a subsequent "regeneration" of the target collection in a very efficient manner. Since the intermediate representation will be often smaller than the target collection, we call it a condensed representation. We obtained a significant improvement of the performances. The use of condensed representations is relatively novel in the field. Then new major condensed representations of simple frequent patterns are proposed, the algorithms to mine them and derive the target pattern collections. We show the practical advantages of the proposed condensed representations over the past methods, and provide an abstract view of the proposed representations in the unified structure for condensed representations
de, Pomereu Jean. "The exploration of 'indlandsis' : a cultural and scientific history of ice sheets to 1970." Thesis, University of Exeter, 2015. http://hdl.handle.net/10871/18332.
Full textYang, Di. "Analysis guided visual exploration of multivariate data." Worcester, Mass. : Worcester Polytechnic Institute, 2007. http://www.wpi.edu/Pubs/ETD/Available/etd-050407-005925/.
Full textBykowski, Artur Boulicaut Jean-François. "Condensed representations of frequent sets application to descriptive pattern discovery /." Villeurbanne : Doc'INSA, 2004. http://docinsa.insa-lyon.fr/these/pont.php?id=bykowski.
Full textThèse rédigée en anglais. En annexe, résumé étendu en français. Le titre en français "Représentations condensées d'ensembles fréquents : application à la découverte de motifs descriptifs" n'apparait pas sur la thèse. Titre provenant de l'écran-titre. Bibliogr. p. 142-150.
Patel, Riyaz. "Beyond genome wide discovery : an exploration of novel genetic variants for coronary heart disease." Thesis, Cardiff University, 2012. http://orca.cf.ac.uk/38470/.
Full textVoser, Tanja M. "Marine Biodiscovery - An Exploration of Chemical Diversity, Antibiotic Discovery, and Invertebrate Natural Product Chemistry." Thesis, Griffith University, 2022. http://hdl.handle.net/10072/414294.
Full textThesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Environment and Sc
Science, Environment, Engineering and Technology
Full Text
Dallon, Emma Kay. "Exploration of Antimicrobial Activity in Natural Peptides and High-Throughput Discovery of Synthetic Peptides." BYU ScholarsArchive, 2018. https://scholarsarchive.byu.edu/etd/7468.
Full textWilkins, Paul. "What does it mean to be person centred? : a personal journey of exploration and discovery." Thesis, Manchester Metropolitan University, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.327713.
Full textWang, Keqin. "Knowledge discovery in manufacturing quality data to support product design decision making." Troyes, 2010. http://www.theses.fr/2010TROY0005.
Full textThis work studies knowledge extraction in manufacturing quality data (MQD) for support-ing design decisions. Firstly, an ontological approach for analyzing design decisions and identifying designer’s needs for manufacturing quality knowledge is proposed. The decisions are analyzed ranging from task clarification, conceptual design, embodiment design to detail design. A decision model is proposed in which decisions and its knowledge elements are illustrated. An ontology is constructed to represent the decisions and their knowledge needs. Secondly, MQD preparation for further knowledge discovery is described. The nature of data in manufacturing is described. A GT (group technology) and QBOM (Quality Bill of Material)-based method is proposed to classify and organize MQD. As an important factor, the data quality (DQ) issues related with MQD is also analyzed for data mining (DM) application. A QFD (quality function deployment) based approach is proposed for translating data consumers’ DQ needs into specific DQ dimensions and initiatives. Thirdly, a DM-based manufacturing quality knowledge discovery method is proposed and validated through two popular DM functions and related algorithms. The two DM functions are illustrated through real world data sets from two different production lines. Fourthly, a MQD-based design support proto-type is developed. The prototype includes three major functions such as data input, knowledge extraction and input, knowledge search
DiCesare, Christopher A. "A computational framework for the discovery, modeling, and exploration of task-specific human motor coordination strategies." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1583998641422141.
Full textKhajeh, Nassiri Armita. "Expressive Rule Discovery for Knowledge Graph Refinement." Electronic Thesis or Diss., université Paris-Saclay, 2023. http://www.theses.fr/2023UPASG045.
Full textKnowledge graphs (KGs) are heterogeneous graph structures representing facts in a machine-readable format. They find applications in tasks such as question answering, disambiguation, and entity linking. However, KGs are inherently incomplete, and refining them is crucial to improve their effectiveness in downstream tasks. It's possible to complete the KGs by predicting missing links within a knowledge graph or integrating external sources and KGs. By extracting rules from the KG, we can leverage them to complete the graph while providing explainability. Various approaches have been proposed to mine rules efficiently. Yet, the literature lacks effective methods for effectively incorporating numerical predicates in rules. To address this gap, we propose REGNUM, which mines numerical rules with interval constraints. REGNUM builds upon the rules generated by an existing rule mining system and enriches them by incorporating numerical predicates guided by quality measures. Additionally, the interconnected nature of web data offers significant potential for completing and refining KGs, for instance, by data linking, which is the task of finding sameAs links between entities of different KGs. We introduce RE-miner, an approach that mines referring expressions (REs) for a class in a knowledge graph and uses them for data linking. REs are rules that are only applied to one entity. They support knowledge discovery and serve as an explainable way to link data. We employ pruning strategies to explore the search space efficiently, and we define characteristics to generate REs that are more relevant for data linking. Furthermore, we aim to explore the advantages and opportunities of fine-tuning language models to bridge the gap between KGs and textual data. We propose GilBERT, which leverages fine-tuning techniques on language models like BERT using a triplet loss. GilBERT demonstrates promising results for refinement tasks of relation prediction and triple classification tasks. By considering these challenges and proposing novel approaches, this thesis contributes to KG refinement, particularly emphasizing explainability and knowledge discovery. The outcomes of this research open doors to more research questions and pave the way for advancing towards more accurate and comprehensive KGs
Fraas, Arthur Mitchell. "Henry Beaufoy MP and the Association for Promoting the Discovery of the Interior Parts of Africa." Thesis, Boston College, 2004. http://hdl.handle.net/2345/453.
Full textHenry Beaufoy MP (1750-1795) was one of the primary founders and first secretary of the Association for Promoting the Discovery of the Interior Parts of Africa. The Association sponsored several expeditions to the Western Sudan and North Africa during the late 1780's and 1790's including the famous Mungo Park expedition of 1795-97. Beaufoy, as a Member of Parliament, was a key figure in the nonconformist movement as well as an ardent supporter of abolition. His work in recruiting and directing the Association's explorers helped set the stage for nineteenth century British involvement in Africa. The history of the Association's early expeditions and Beaufoy's mix of humanitarian and commercial motivations in founding the Association provide revealing witness to the nature of British interest in Africa at the end of the eighteenth century
Thesis (BA) — Boston College, 2004
Submitted to: Boston College. College of Arts and Sciences
Discipline: History
Discipline: College Honors Program
Díaz, Varela Míriam. "Exploration of Extracellular Vesicles as a Novel Approach for Antigen Discovery and Vaccine Development against Plasmodium vivax Malaria." Doctoral thesis, Universitat de Barcelona, 2019. http://hdl.handle.net/10803/668981.
Full textPlasmodium vivax es el parásito que causa malaria humana más extendido geográficamente. Se ha de ampliar la investigación sobre este parásito para desarrollar herramientas adecuadas para su control, entre ellas, una vacuna altamente efectiva. Una característica particular de P. vivax es su preferencia por invadir glóbulos rojos inmaduros, también conocidos como reticulocitos. Curiosamente, estudios ultraestructurales realizados en reticulocitos permitieron el descubrimiento de exosomas, vesículas extracelulares (VEs) de origen endocítico. Los exosomas y otras vesículas extracelulares, fueron vistos inicialmente como una vía selectiva de eliminación de proteínas obsoletas, pero en la actualidad, se sabe que participan en una gran variedad de procesos biológicos. Los exosomas derivados de reticulocitos infectados con P. yoelii, un parásito propenso a invadir reticulocitos murinos que se asemeja a P. vivax, contienen proteínas parasitarias. Cuando estos exosomas se usan en inmunizaciones con adyuvante de CpG son capaces de provocar respuestas protectoras duraderas. Esta tesis plantea la hipótesis de que los exosomas derivados de reticulocitos infectados con P. vivax contienen antígenos del parásito y pueden estimular respuestas inmunes. Evaluamos el potencial de las VEs circulantes en infecciones de P. vivax como fuente de antígenos y como activadoras de respuestas de células T. Además, exploramos los exosomas derivados de reticulocitos humanos como una plataforma de vacunación contra la malaria vivax. Aislamos VEs del plasma de pacientes infectados con P. vivax y determinamos su composición proteica mediante proteómica basada en espectrometría de masas para investigar su potencial uso en el descubrimiento de antígenos. Encontramos proteínas del parásito asociadas a estas vesículas, las cuales podrían actuar como antígenos. De hecho, el análisis in silico de dos de estas proteínas reveló prometedores epítopos citotóxicos de células T. Además, detectamos moléculas HLA clase I y observamos un alterado contenido de proteínas en las vesículas de pacientes con vivax en comparación con donantes sanos, lo que sugiere que los VEs circulantes podrían afectar el curso de la infección por P. vivax. A continuación, evaluamos la interacción in vitro de estas vesículas con poblaciones leucocitarias del bazo humano, dada la importancia de este órgano en la inducción de respuestas inmunes adaptativas. Observamos una interacción significativamente elevada de monocitos, células B y células T con vesículas de pacientes en comparación con VEs de individuos sanos. Estudiamos la capacidad de estas vesículas para activar las células T, y los resultados preliminares indican que las vesículas circulantes de infecciones de vivax podrían estimular las respuestas de las células T CD8+. Recientes estudios han destacado el posible papel de las respuestas citotóxicas de las células T contra los parásitos de la etapa sanguínea de P. vivax. Paralelamente, analizamos la composición proteómica de los exosomas derivados de reticulocitos humanos y determinamos su capacidad para interactuar con células presentadoras de antígenos. Identificamos más de 300 proteínas en estas vesículas, incluidas las moléculas HLA de clase I, y descubrimos que estos exosomas podían ser internalizados por células presentadoras de antígenos, lo que sugiere su contribución a la presentación antigénica. En conjunto, nuestros resultados indican que las VEs de las infecciones por vivax pueden usarse en el descubrimiento de antígenos y pueden contribuir a respuestas inmunes mediadas por células que podrían ser críticas para el control de vivax. En particular, los exosomas derivados de reticulocitos representan una potencial plataforma de vacuna. Creemos que este trabajo ha proporcionado nuevas ideas para el desarrollo de vacunas contra la malaria por P. vivax.
Riley, Helen Joyce. "Identity and genetic origins : an ethical exploration of the late discovery of adoptive and donor-insemination offspring status." Thesis, Queensland University of Technology, 2012. https://eprints.qut.edu.au/51537/1/Helen_Riley_Thesis.pdf.
Full textDe, Klerk Charlotte. "The place beyond the bent pines - designing through exploration, making and discovery: an alternative design methodology through an exploration in timber for an imagining of its use." Master's thesis, University of Cape Town, 2013. http://hdl.handle.net/11427/7510.
Full textGuimaraes, Braga da Silva Pedro Ivo. "Discovery of a Novel Microalgal Strain Scenedesmus Sp. A6 and Exploration of Its Potential as a Microbial Cell Factory." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/84549.
Full textPh. D.
Provest, Ian S., of Western Sydney Nepean University, of Performance Fine Arts and Design Faculty, and School of Design. "Concepts of viewpoint and erasure: Botany Bay." THESIS_FPFAD_SD_Provest_I.xml, 1996. http://handle.uws.edu.au:8081/1959.7/790.
Full textMaster of Arts (Hons) (Visual Arts)
Thrond, Matthew Dale. "Center of the periphery." Thesis, [Austin, Tex. : University of Texas Libraries, 2009. http://hdl.handle.net/2152/ETD-UT-2009-05-165.
Full textAl, Jlailaty Diana. "Mining Business Process Information from Emails Logs for Process Models Discovery." Thesis, Paris Sciences et Lettres (ComUE), 2019. http://www.theses.fr/2019PSLED028.
Full textExchanged information in emails’ texts is usually concerned by complex events or business processes in which the entities exchanging emails are collaborating to achieve the processes’ final goals. Thus, the flow of information in the sent and received emails constitutes an essential part of such processes i.e. the tasks or the business activities. Extracting information about business processes from emails can help in enhancing the email management for users. It can be also used in finding rich answers for several analytical queries about the employees and the organizations enacting these business processes. None of the previous works have fully dealt with the problem of automatically transforming email logs into event logs to eventually deduce the undocumented business processes. Towards this aim, we work in this thesis on a framework that induces business process information from emails. We introduce approaches that contribute in the following: (1) discovering for each email the process topic it is concerned by, (2) finding out the business process instance that each email belongs to, (3) extracting business process activities from emails and associating these activities with metadata describing them, (4) improving the performance of business process instances discovery and business activities discovery from emails by making use of the relation between these two problems, and finally (5) preliminary estimating the real timestamp of a business process activity instead of using the email timestamp. Using the results of the mentioned approaches, an event log is generated which can be used for deducing the business process models of an email log. The efficiency of all of the above approaches is proven by applying several experiments on the open Enron email dataset
Kunbuor, Benjamin Bewa-Nyog. "Decentralisation and land administration in the Upper West Region of Ghana : a spatial exploration of law in development." Thesis, University of Warwick, 2000. http://wrap.warwick.ac.uk/39305/.
Full textHale, Ryan Nathan. "INTIMATE CINEMA: AVANT-GARDE FILM INFLUENCING A BIOGRAPHICAL STORY OF DISCOVERY IN COMPUTER ANIMATION." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306950792.
Full textOmidvar, Tehrani Behrooz. "Optimization-based User Group Management : Discovery, Analysis, Recommendation." Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GREAM038/document.
Full textUser data is becoming increasingly available in multiple domains ranging from phone usage traces to data on the social Web. User data is a special type of data that is described by user demographics (e.g., age, gender, occupation, etc.) and user activities (e.g., rating, voting, watching a movie, etc.) The analysis of user data is appealing to scientists who work on population studies, online marketing, recommendations, and large-scale data analytics. However, analysis tools for user data is still lacking.In this thesis, we believe there exists a unique opportunity to analyze user data in the form of user groups. This is in contrast with individual user analysis and also statistical analysis on the whole population. A group is defined as set of users whose members have either common demographics or common activities. Group-level analysis reduces the amount of sparsity and noise in data and leads to new insights. In this thesis, we propose a user group management framework consisting of following components: user group discovery, analysis and recommendation.The very first step in our framework is group discovery, i.e., given raw user data, obtain user groups by optimizing one or more quality dimensions. The second component (i.e., analysis) is necessary to tackle the problem of information overload: the output of a user group discovery step often contains millions of user groups. It is a tedious task for an analyst to skim over all produced groups. Thus we need analysis tools to provide valuable insights in this huge space of user groups. The final question in the framework is how to use the found groups. In this thesis, we investigate one of these applications, i.e., user group recommendation, by considering affinities between group members.All our contributions of the proposed framework are evaluated using an extensive set of experiments both for quality and performance
Anderson, Mark Cronlund. "Spanish expeditions to the Northwest Coast during the Bucareli administration, 1771-1779." PDXScholar, 1989. https://pdxscholar.library.pdx.edu/open_access_etds/3895.
Full textMishra, Murli. "EXPLORATION OF THE SRX-PRX AXIS AS A SMALL-MOLECULE TARGET." UKnowledge, 2016. http://uknowledge.uky.edu/toxicology_etds/14.
Full textNilsson, Felix. "Joint Human-Machine Exploration of Industrial Time Series Using the Matrix Profile." Thesis, Högskolan i Halmstad, CAISR Centrum för tillämpade intelligenta system (IS-lab), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-44717.
Full textBelfodil, Aimene. "An order theoretic point-of-view on subgroup discovery." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSEI078.
Full textAs the title of this dissertation may suggest, the aim of this thesis is to provide an order-theoretic point of view on the task of subgroup discovery. Subgroup discovery is the automatic task of discovering interesting hypotheses in databases. That is, given a database, the hypothesis space the analyst wants to explore and a formal way of how the analyst gauges the quality of the hypotheses (e.g. a quality measure); the automated task of subgroup discovery aims to extract the interesting hypothesis w.r.t. these parameters. In order to elaborate fast and efficient algorithms for subgroup discovery, one should understand the underlying properties of the hypothesis space on the one hand and the properties of its quality measure on the other. In this thesis, we extend the state-of-the-art by: (i) providing a unified view of the hypotheses space behind subgroup discovery using the well-founded mathematical tool of order theory, (ii) proposing the new hypothesis space of conjunction of linear inequalities in numerical databases and the algorithms enumerating its elements and (iii) proposing an anytime algorithm for discriminative subgroup discovery on numerical datasets providing guarantees upon interruption
Hassan, Mohsen. "Knowledge Discovery Considering Domain Literature and Ontologies : Application to Rare Diseases." Electronic Thesis or Diss., Université de Lorraine, 2017. http://www.theses.fr/2017LORR0092.
Full textEven if they are uncommon, Rare Diseases (RDs) are numerous and generally sever, what makes their study important from a health-care point of view. Few databases provide information about RDs, such as Orphanet and Orphadata. Despite their laudable effort, they are incomplete and usually not up-to-date in comparison with what exists in the literature. Indeed, there are millions of scientific publications about these diseases, and the number of these publications is increasing in a continuous manner. This makes the manual extraction of this information painful and time consuming and thus motivates the development of semi-automatic approaches to extract information from texts and represent it in a format suitable for further applications. This thesis aims at extracting information from texts and using the result of the extraction to enrich existing ontologies of the considered domain. We studied three research directions (1) extracting relationships from text, i.e., extracting Disease-Phenotype (D-P) relationships; (2) identifying new complex entities, i.e., identifying phenotypes of a RD and (3) enriching an existing ontology on the basis of the relationship previously extracted, i.e., enriching a RD ontology. First, we mined a collection of abstracts of scientific articles that are represented as a collection of graphs for discovering relevant pieces of biomedical knowledge. We focused on the completion of RD description, by extracting D-P relationships. This could find applications in automating the update process of RD databases such as Orphanet. Accordingly, we developed an automatic approach named SPARE*, for extracting D-P relationships from PubMed abstracts, where phenotypes and RDs are annotated by a Named Entity Recognizer. SPARE* is a hybrid approach that combines a pattern-based method, called SPARE, and a machine learning method (SVM). It benefited both from the relatively good precision of SPARE and from the good recall of the SVM. Second, SPARE* has been used for identifying phenotype candidates from texts. We selected high-quality syntactic patterns that are specific for extracting D-P relationships only. Then, these patterns are relaxed on the phenotype constraint to enable extracting phenotype candidates that are not referenced in databases or ontologies. These candidates are verified and validated by the comparison with phenotype classes in a well-known phenotypic ontology (e.g., HPO). This comparison relies on a compositional semantic model and a set of manually-defined mapping rules for mapping an extracted phenotype candidate to a phenotype term in the ontology. This shows the ability of SPARE* to identify existing and potentially new RD phenotypes. We applied SPARE* on PubMed abstracts to extract RD phenotypes that we either map to the content of Orphanet encyclopedia and Orphadata; or suggest as novel to experts for completing these two resources. Finally, we applied pattern structures for classifying RDs and enriching an existing ontology. First, we used SPARE* to compute the phenotype description of RDs available in Orphadata. We propose comparing and grouping RDs in regard to their phenotypic descriptions, and this by using pattern structures. The pattern structures enable considering both domain knowledge, consisting in a RD ontology and a phenotype ontology, and D-P relationships from various origins. The lattice generated from this pattern structures suggests a new classification of RDs, which in turn suggests new RD classes that do not exist in the original RD ontology. As their number is large, we proposed different selection methods to select a reduced set of interesting RD classes that we suggest for experts for further analysis
Lachance, Isabelle. "La rhétorique des origines dans l'Histoire de la Nouvelle-France de Marc Lescarbot /." Thesis, McGill University, 2004. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=84520.
Full textVlas, Radu. "A Requirements-Based Exploration of Open-Source Software Development Projects – Towards a Natural Language Processing Software Analysis Framework." Digital Archive @ GSU, 2012. http://digitalarchive.gsu.edu/cis_diss/48.
Full textHicks, Stephen Walter. "The Commonwealth Trans-Antarctic Expedition 1955-58 - How the crossing of Antarctica moved New Zealand to recognise its Antarctic heritage and take an equal place among Antarctic nations." Thesis, University of Canterbury. Gateway Antarctica, 2015. http://hdl.handle.net/10092/10485.
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