Relevant bibliographies by topics / Temporal rule

Academic literature on the topic 'Temporal rule'

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Published: 4 June 2021
Last updated: 19 February 2022

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Journal articles on the topic "Temporal rule"

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KORPIPÄÄ, PANU. "Visualizing constraint-based temporal association rules." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 15, no. 5 (November 2001): 401–10. http://dx.doi.org/10.1017/s0890060401155034.

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When dealing with time continuous processes, the discovered association rules may change significantly over time. This often reflects a change in the process as well. Therefore, two questions arise: What kind of deviation occurs in the association rules over time, and how could these temporal rules be presented efficiently? To address this problem of representation, we propose a method of visualizing temporal association rules in a virtual model with interactive exploration. The presentation form is a three-dimensional correlation matrix, and the visualization methods used are brushing and glyphs. Interactive functions used for displaying rule attributes and exploring temporal rules are implemented by utilizing Virtual Reality Modeling Language v2 mechanisms. Furthermore, to give a direction of rule potential for the user, the rule statistical interestingness is evaluated on the basis of combining weighted characteristics of rule and rule matrix. A constraint-based association rule mining tool which creates the virtual model as an output is presented, including the most relevant experiences from the development of the tool. The applicability of the overall approach has been verified by using the developed tool for data mining on a hot strip mill of a steel plant.
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Mohd Khairudin, Nazli, Aida Mustapha, and Mohd Hanif Ahmad. "Effect of Temporal Relationships in Associative Rule Mining for Web Log Data." Scientific World Journal 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/813983.

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The advent of web-based applications and services has created such diverse and voluminous web log data stored in web servers, proxy servers, client machines, or organizational databases. This paper attempts to investigate the effect of temporal attribute in relational rule mining for web log data. We incorporated the characteristics of time in the rule mining process and analysed the effect of various temporal parameters. The rules generated from temporal relational rule mining are then compared against the rules generated from the classical rule mining approach such as the Apriori and FP-Growth algorithms. The results showed that by incorporating the temporal attribute via time, the number of rules generated is subsequently smaller but is comparable in terms of quality.
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Cariñena, Purificación. "Fuzzy temporal association rules: combining temporal and quantitative data to increase rule expressiveness." Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 4, no. 1 (December 23, 2013): 64–70. http://dx.doi.org/10.1002/widm.1116.

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Agarwal, Reshu, Mandeep Mittal, and Sarla Pareek. "Loss Profit Estimation Using Temporal Association Rule Mining." International Journal of Business Analytics 3, no. 1 (January 2016): 45–57. http://dx.doi.org/10.4018/ijban.2016010103.

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Temporal association rule mining is a data mining technique in which relationships between items which satisfy certain timing constraints can be discovered. This paper presents the concept of temporal association rules in order to solve the problem of classification of inventories by including time expressions into association rules. Firstly, loss profit of frequent items is calculated by using temporal association rule mining algorithm. Then, the frequent items in particular time-periods are ranked according to descending order of loss profits. The manager can easily recognize most profitable items with the help of ranking found in the paper. An example is illustrated to validate the results.
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Li, Zhi Gang, and Feng Li Yang. "The Generation of the Fuzzy Control Rules Based on Association Rules with Temporal Constraints." Applied Mechanics and Materials 385-386 (August 2013): 931–34. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.931.

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In the field of fuzzy control, the generation of fuzzy control rules has always been a problem, because the industrial data is generally expressed in the order of time ,so it strongly depends on the time, it does not take the factors of temporal constraints into account in the previous extracting rule process.This paper uses temporal constraint association rule ,and uses the data mining methods to generate temporal fuzzy control rules. The method is verified by using the MATLAB7.1 ,the simulation shows that the method can achieve good fuzzy control rules.
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Verma, Keshri, and O. P. Vyas. "Efficient calendar based temporal association rule." ACM SIGMOD Record 34, no. 3 (September 2005): 63–70. http://dx.doi.org/10.1145/1084805.1084818.

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Ormerod, Thomas C., Kenneth I. Manktelow, and Gregory V. Jones. "Reasoning with three Types of Conditional: Biases and Mental Models." Quarterly Journal of Experimental Psychology Section A 46, no. 4 (November 1993): 653–77. http://dx.doi.org/10.1080/14640749308401032.

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Two experiments are reported which compare conditional reasoning with three types of rule. These consist of two types of rule that have been widely studied previously, if p then q and p only if q, together with a third type, q if p. In both experiments, the p only if q type of rule yields a different pattern of performance from the two other types of rule. Experiment 1 is an abstract rule-evaluation task and demonstrates differential effects of temporal order and of suppositional bias. Experiment 2 investigates rule generation, rephrasing, and comparison, and demonstrates differential effects of temporal order and of thematic content. An analysis of the results is offered in terms of biases and mental models. Effects of rule form and context can be explained as reflecting the different sequences in which mental models are created for each rule form. However, it is necessary to consider the internal structure of individual mental models to account for effects arising from temporal ordering of rules.
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Dawson, Kim A. "Effects of Temporal Speed Instruction on Temporal Length Judgment." Perceptual and Motor Skills 78, no. 3 (June 1994): 737–38. http://dx.doi.org/10.1177/003151259407800310.

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Given the flexible use of an inverse rule relating temporal speed and temporal length in some psychological studies, an hypothesized effect of an instruction regarding temporal speed on temporal length judgment was tested. By subjects asked to compare the speeds (rates of passage) and then to estimate the two temporal lengths (durations) of two successive intervals, there was greater use of the inverse rule and increased accuracy in estimating the first of the two intervals. The results have important implications for effortful processing of temporal information.
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Malet-Karas, Aurore, Marion Noulhiane, and Valérie Doyère. "Dynamics of Spatio-Temporal Binding in Rats." Timing & Time Perception 7, no. 1 (January 11, 2019): 27–47. http://dx.doi.org/10.1163/22134468-20181124.

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Time and space are commonly approached as two distinct dimensions, and rarely combined together in a single task, preventing a comparison of their interaction. In this project, using a version of a timing task with a spatial component, we investigate the learning of a spatio-temporal rule in animals. To do so, rats were placed in front of a five-hole nose-poke wall in a Peak Interval (PI) procedure to obtain a reward, with two spatio-temporal combination rules associated with different to-be-timed cues and lighting contexts. We report that, after successful learning of the discriminative task, a single Pavlovian session was sufficient for the animals to learn a new spatio-temporal association. This was seen as evidence for a beneficial transfer to the new spatio-temporal rule, as compared to control animals that did not experience the new spatio-temporal association during the Pavlovian session. The benefit was observed until nine days later. The results are discussed within the framework of adaptation to a change of a complex associative rule involving interval timing processes.
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Kunzendorf, Robert G., Scott S. Lyman, Brenda Sousa, and Emily Hilly. "“Imageless” Spatial and Temporal Rules Can Be Tested and Refined by Constructing Vivid Visual and Auditory Images." Imagination, Cognition and Personality 32, no. 2 (October 2012): 115–50. http://dx.doi.org/10.2190/ic.32.2.c.

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In this computerized study, research participants completed both Marks' (1973) Vividness of Visual Imagery Questionnaire and Kunzendorf's (1979) Vividness of Auditory Imagery Questionnaire and, immediately thereafter, completed either a visuo-spatial rule-development exercise or an audio-temporal rule-development exercise. During the visuo-spatial exercise, participants were administered 20 four-alternative quizzes regarding the schematic rules of 3-point perspective (3PP) and, between quizzes, were instructed to figure out the rules by constructing visual images that serve to test their developing schema. During the audio-temporal exercise, participants were administered 24 two-alternative quizzes regarding artificial grammatical rules and, between quizzes, were instructed to figure out the rules by generating auditory images that serve to test their developing grammar. Across 83 participants in the visuo-spatial rule-development exercise, greater development of 3PP rules correlated significantly with greater vividness of visual imagery, but not auditory imagery. Conversely, across 94 participants in the audio-temporal rule-development exercise, greater development of grammatical rules correlated significantly with greater vividness of auditory imagery, but not visual imagery. In the historical context of null correlations between image vividness and problem-solving success, the current correlational findings provide modality-specific support for Kunzendorf and Reynold's (2004-2005) and Kunzendorf and Buker's (2008-2009) thesis that the vivid imager's construction of sensory images from imageless rules facilitates the testing and refinement of newly hypothesized rules, but does not facilitate the application of previously developed rules to new problems.
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Dissertations / Theses on the topic "Temporal rule"

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Kearton, Kristian. "Correlating temporal rules to time-series data with rule-based intuition." Thesis, Monterey, California : Naval Postgraduate School, 2010. http://edocs.nps.edu/npspubs/scholarly/theses/2010/Mar/10Mar%5FKearton.pdf.

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Thesis (M.S. in Computer Science)--Naval Postgraduate School, March 2010.
Thesis Advisor(s): Garfinkel, Simson L. Second Reader: Schein, Andrew I. "March 2010." Description based on title screen as viewed on April 28, 2010. Author(s) subject terms: Temporal Analysis, Time-Series Data, Rule Based Evaluation, Supervised Learning. Includes bibliographical references (p. 45-48). Also available in print.
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Ziliani, Francesco. "Spatio-temporal image segmentation : a new rule-based approach /." Lausanne : EPFL, 2000. http://library.epfl.ch/theses/?nr=2265.

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Carse, Brian. "Artificial evolution of fuzzy and temporal rule based systems." Thesis, University of the West of England, Bristol, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.267551.

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Weitl, Harms Sherri K. "Temporal association rule methodologies for geo-spatial decision support /." free to MU campus, to others for purchase, 2002. http://wwwlib.umi.com/cr/mo/fullcit?p3091989.

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Unal, Calargun Seda. "Fuzzy Association Rule Mining From Spatio-temporal Data: An Analysis Of Meteorological Data In Turkey." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12609308/index.pdf.

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Data mining is the extraction of interesting non-trivial, implicit, previously unknown and potentially useful information or patterns from data in large databases. Association rule mining is a data mining method that seeks to discover associations among transactions encoded within a database. Data mining on spatio-temporal data takes into consideration the dynamics of spatially extended systems for which large amounts of spatial data exist, given that all real world spatial data exists in some temporal context. We need fuzzy sets in mining association rules from spatio-temporal databases since fuzzy sets handle the numerical data better by softening the sharp boundaries of data which models the uncertainty embedded in the meaning of data. In this thesis, fuzzy association rule mining is performed on spatio-temporal data using data cubes and Apriori algorithm. A methodology is developed for fuzzy spatio-temporal data cube construction. Besides the performance criteria interpretability, precision, utility, novelty, direct-to-the-point and visualization are defined to be the metrics for the comparison of association rule mining techniques. Fuzzy association rule mining using spatio-temporal data cubes and Apriori algorithm performed within the scope of this thesis are compared using these metrics. Real meteorological data (precipitation and temperature) for Turkey recorded between 1970 and 2007 are analyzed using data cube and Apriori algorithm in order to generate the fuzzy association rules.
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Mooney, Carl Howard, and carl mooney@bigpond com. "The Discovery of Interacting Episodes and Temporal Rule Determination in Sequential Pattern Mining." Flinders University. Informatics and Engineering, 2007. http://catalogue.flinders.edu.au./local/adt/public/adt-SFU20070702.120306.

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The reason for data mining is to generate rules that can be used as the basis for making decisions. One such area is sequence mining which, in terms of transactional datasets, can be stated as the discovery of inter-transaction associations or associations between different transactions. The data used for sequence mining is not limited to data stored in overtly temporal or longitudinally maintained datasets and in such domains data can be viewed as a series of events, or episodes, occurring at specific times. The problem thus becomes a search for collections of events that occur frequently together. While the mining of frequent episodes is an important capability, the manner in which such episodes interact can provide further useful knowledge in the search for a description of the behaviour of a phenomenon but as yet has received little investigation. Moreover, while many sequences are associated with absolute time values, most sequence mining routines treat time in a relative sense, returning only patterns that can be described in terms of Allen-style relationships (or simpler), ie. nothing about the relative pace of occurrence. They thus produce rules with a more limited expressive power. Up to this point in time temporal interval patterns have been based on the endpoints of the intervals, however in many cases the ‘natural’ point of reference is the midpoint of an interval and it is therefore appropriate to develop a mechanism for reasoning between intervals when midpoint information is known. This thesis presents a method for discovering interacting episodes from temporal sequences and the analysis of them using temporal patterns. The mining can be conducted both with and without the mechanism for handling the pace of events and the analysis is conducted using both the traditional interval algebras and a midpoint algebra presented in this thesis. The visualisation of rules in data mining is a large and dynamic field in its own right and although there has been a great deal of research in the visualisation of associations, there has been little in the area of sequence or episodic mining. Add to this the emerging field of mining stream data and there is a need to pursue methods and structures for such visualisations, and as such this thesis also contributes toward research in this important area of visualisation.
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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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Winarko, Edi, and edwin@ugm ac id. "The Discovery and Retrieval of Temporal Rules in Interval Sequence Data." Flinders University. Informatics and Engineering, 2007. http://catalogue.flinders.edu.au./local/adt/public/adt-SFU20080107.164033.

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Data mining is increasingly becoming important tool in extracting interesting knowledge from large databases. Many industries are now using data mining tools for analysing their large collections of databases and making business decisions. Many data mining problems involve temporal aspects, with examples ranging from engineering to scientific research, finance and medicine. Temporal data mining is an extension of data mining which deals with temporal data. Mining temporal data poses more challenges than mining static data. While the analysis of static data sets often comes down to the question of data items, with temporal data there are many additional possible relations. One of the tasks in temporal data mining is the pattern discovery task, whose objective is to discover time-dependent correlations, patterns or rules between events in large volumes of data. To date, most temporal pattern discovery research has focused on events existing at a point in time rather than over a temporal interval. In comparison to static rules, mining with respect to time points provides semantically richer rules. However, accommodating temporal intervals offers rules that are richer still. This thesis addresses several issues related to the pattern discovery from interval sequence data. Despite its importance, this area of research has received relatively little attention and there are still many issues that need to be addressed. Three main issues that this thesis considers include the definition of what constitutes an interesting pattern in interval sequence data, the efficient mining for patterns in the data, and the identification of interesting patterns from a large number of discovered patterns. In order to deal with these issues, this thesis formulates the problem of discovering rules, which we term richer temporal association rules, from interval sequence databases. Furthermore, this thesis develops an efficient algorithm, ARMADA, for discovering richer temporal association rules. The algorithm does not require candidate generation. It utilizes a simple index, and only requires at most two database scans. In this thesis, a retrieval system is proposed to facilitate the selection of interesting rules from a set of discovered richer temporal association rules. To this end, a high-level query language specification, TAR-QL, is proposed to specify the criteria of the rules to be retrieved from the rule sets. Three low-level methods are developed to evaluate queries involving rule format conditions. In order to improve the performance of the methods, signature file based indexes are proposed. In addition, this thesis proposes the discovery of inter-transaction relative temporal association rules from event sequence databases.
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Kliman, Douglas Hartley. "Rule-based classification of hyper-temporal, multi-spectral satellite imagery for land-cover mapping and monitoring." Diss., The University of Arizona, 1996. http://hdl.handle.net/10150/187473.

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A rule-based classification model was developed to derive land-cover information from a large set of hyper-temporal, multi-spectral satellite imagery encompassing the state of Arizona. The model uses Advanced Very High Resolution Radiometer (AVHRR) imagery and the 30-minute digital elevation model (DEM) from the EROS Data Center (EDC) Conterminous U.S. AVHRR Biweekly Composites. Sixty one images from 1990, 1991 and 1992 were analyzed using the Brown & Lowe (1973) Natural Vegetative Communities of Arizona map to identify temporal patterns of Normalized Difference Vegetation Index (NDVI) and thermal measurements for 13 land-cover classes. Fifteen characteristic layers were created to represent the spectral, thermal and temporal properties of the data set. These layers were inputs for the rule-based classification model. The model was run on three years of data, creating three single year land-cover maps. The modeling effort showed that NDVI, thermal and DEM characteristics are useful for discerning land-cover classes. The single year land-cover maps showed that the rule-based model could not detect land-cover change between years. The single year maps were combined to create a summary land-cover map. This map differs from the Brown and Lowe map in the shape, proportional size and spatial distribution of land-cover polygons. The rule-based model can discern more land-cover classes than spectral cluster classification. Ground observations and an aerial video was used to assess map accuracy. The same proportion of agreement was observed between the ground observations, the Brown and Lowe map, and the summary land-cover map. Agreement was higher between video and the summary map than between video and the Brown and Lowe map. With further refinements to the input data set, classification model rules and field accuracy assessment, higher levels of agreement can be expected. Overall results show that rule-based classification of hyper-temporal, multi-spectral satellite imagery is a desirable method for mapping global land-cover.
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Bouchacourt, Flora. "Hebbian mechanisms and temporal contiguity for unsupervised task-set learning." Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066379/document.

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L'homme est capable d'utiliser des stratégies ou règles concurrentes selon les contraintes environnementales. Nous étudions un modèle plausible pour une tâche nécessitant l'apprentissage de plusieurs règles associant des stimuli visuels à des réponses motrices. Deux réseaux de populations neurales à sélectivité mixte interagissent. Le réseau décisionnel apprend les associations stimulus-réponse une à une, mais ne peut gérer qu'une règle à la fois. Son activité modifie la plasticité synaptique du second réseau qui apprend les statistiques d'évènements sur une échelle de temps plus longue. Lorsque des motifs entre les associations stimulus-réponse sont détectés, un biais d'inférence vers le réseau décisionnel guide le comportement futur. Nous montrons que le mécanisme de Hebb non-supervisé dans le second réseau est suffisant pour l'implémentation des règles. Leur récupération dans le réseau de décision améliore la performance. Le modèle prédit des changements comportementaux en fonction de la séquence des réponses précédentes, dont les effets sur la performance peuvent être positifs ou négatifs. Les prédictions sont confirmées par les données, et permettent d'identifier les sujets ayant appris la structure de la tâche. Le signal d'inférence corrèle avec l'activité BOLD dans le réseau fronto-pariétal. Au sein de ce réseau, les n¿uds préfrontaux dorsomédial et dorsolatéral sont préférentiellement recrutés lorsque les règles sont récurrentes: l'activité dans ces régions pourrait biaiser les circuits de décision lorsqu'une règle est récupérée. Ces résultats montrent que le mécanisme de Hebb peut expliquer l'apprentissage de comportements complexes en contrôle cognitif
Depending on environmental demands, humans performing in a given task are able to exploit multiple concurrent strategies, for which the mental representations are called task-sets. We examine a candidate model for a specific human experiment, where several stimulus-response mappings, or task-sets, need to be learned and monitored. The model is composed of two interacting networks of mixed-selective neural populations. The decision network learns stimulus-response associations, but cannot learn more than one task-set. Its activity drives synaptic plasticity in a second network that learns event statistics on a longer timescale. When patterns in stimulus-response associations are detected, an inference bias to the decision network guides successive behavior. We show that a simple unsupervised Hebbian mechanism in the second network is sufficient to learn an implementation of task-sets. Their retrieval in the decision network improves performance. The model predicts abrupt changes in behavior depending on the precise statistics of previous responses, corresponding to positive (task-set retrieval) or negative effects on performance. The predictions are borne out by the data, and enable to identify subjects who have learned the task structure. The inference signal correlates with BOLD activity in the fronto-parietal network. Within this network, dorsomedial and dorsolateral prefrontal nodes are preferentially recruited when task-sets are recurrent: activity in these regions may provide a bias to decision circuits when a task-set is retrieved. These results show that Hebbian mechanisms and temporal contiguity may parsimoniously explain the learning of rule-guided behavior
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Books on the topic "Temporal rule"

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Pavlac, Brian Alexander. The development of temporal rule by the archbishops of Trier: 1066-1259. Ann Arbor, Mi: University Microfilms International, 1986.

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Youdeowei, A. P. Capturing and modelling business rules in temporal information systems. Manchester: UMIST, 1993.

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Ross, Jaan. The temporal structure of Estonian runic songs. Berlin: Mouton de Gruyter, 2001.

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New York (State). Legislature. Senate. Temporary Committee on Rules and Administration Reform. Temporary Committee on Rules and Administrative Reform. New York: s.n., 2009.

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Andrianopoulos, G. An environment for the verification and code generation of temporal rules. Manchester: UMIST, 1993.

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Board, San Francisco (Calif ). Abatement Appeals. Temporary rules and procedures for Abatement Appeals Board and staff. San Francisco, Calif: Dept. of Building Inspection, 1996.

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New York (State). Legislature. Senate. Temporary Committee on Rules and Administration Reform. In the matter of Temporary Committee on Rules and Administration Reform. New York: s.n., 2009.

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Orenstein, Melvin. Taxation of fringe benefits under the latest rules: (reflects new temporary regulations). Paramus, N.J: Prentice-Hall Information Services, 1986.

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The just ruler (al-sultān al-ʻādil) in Shīʻte Islam: The comprehensive authority of the jurist in Imamite jurisprudence. New York: Oxford University Press, 1998.

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The just ruler (al-sultān al-ʻādil) in Shīʻite Islam: The comprehensive authority of the jurist in Imamite jurisprudence. New York: Oxford University Press, 1988.

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Book chapters on the topic "Temporal rule"

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Tan, Ting-Feng, Qing-Guo Wang, Tian-He Phang, Xian Li, Jiangshuai Huang, and Dan Zhang. "Temporal Association Rule Mining." In Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques, 247–57. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23862-3_24.

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Calvanese, Diego, Elem Güzel Kalaycı, Vladislav Ryzhikov, and Guohui Xiao. "Towards Practical OBDA with Temporal Ontologies." In Web Reasoning and Rule Systems, 18–24. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45276-0_2.

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Nørvåg, Kjetil, and Ole Kristian Fivelstad. "Semantic-Based Temporal Text-Rule Mining." In Computational Linguistics and Intelligent Text Processing, 442–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00382-0_36.

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Klarman, Szymon, and Thomas Meyer. "Querying Temporal Databases via OWL 2 QL." In Web Reasoning and Rule Systems, 92–107. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11113-1_7.

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Cariñena, Purificación, Alberto Bugarín, Manuel Mucientes, Félix Díaz-Hermida, and Senén Barro. "Fuzzy Temporal Rules: A Rule-based Approach for Fuzzy Temporal Knowledge Representation and Reasoning." In Technologies for Constructing Intelligent Systems 2, 237–50. Heidelberg: Physica-Verlag HD, 2002. http://dx.doi.org/10.1007/978-3-7908-1796-6_19.

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Stone, James V., and Alistair Bray. "A learning rule for extracting temporal invariances." In Lecture Notes in Computer Science, 189–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-59497-3_174.

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Gidófalvi, Győző, and Torben Bach Pedersen. "Spatio–temporal Rule Mining: Issues and Techniques." In Data Warehousing and Knowledge Discovery, 275–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11546849_27.

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Gutiérrez-Basulto, Víctor, and Szymon Klarman. "Towards a Unifying Approach to Representing and Querying Temporal Data in Description Logics." In Web Reasoning and Rule Systems, 90–105. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33203-6_8.

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Batsakis, Sotiris, and Euripides G. M. Petrakis. "SOWL: A Framework for Handling Spatio-temporal Information in OWL 2.0." In Rule-Based Reasoning, Programming, and Applications, 242–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22546-8_19.

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Shiva, Foruhar Ali, and Susan D. Urban. "On Applying Temporal Database Concepts to Event Queries." In Rule-Based Modeling and Computing on the Semantic Web, 171–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24908-2_20.

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Conference papers on the topic "Temporal rule"

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Zhang, Xuewu, Fenzhen Su, Yunyan Du, and Yishao Shi. "Association Rule Mining on Spatio-Temporal Processes." In 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2008. http://dx.doi.org/10.1109/wicom.2008.2628.

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Walzer, Karen, Alexander Schill, and Alexander Löser. "Temporal constraints for rule-based event processing." In the ACM first Ph.D. workshop in CIKM. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1316874.1316890.

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Villemaire, Roger, and Sylvain Halle. "Strong Temporal, Weak Spatial Logic for Rule Based Filters." In 2009 16th International Symposium on Temporal Representation and Reasoning (TIME). IEEE, 2009. http://dx.doi.org/10.1109/time.2009.15.

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Lee, Chao-Hui, and Vincent S. Tseng. "PTCR-Miner: Progressive Temporal Class Rule Mining for Multivariate Temporal Data Classification." In 2010 IEEE International Conference on Data Mining Workshops (ICDMW). IEEE, 2010. http://dx.doi.org/10.1109/icdmw.2010.171.

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DeLima, P. G., and G. G. Yen. "Multiple objective evolutionary algorithm for temporal rule extraction." In 31st Annual Conference of IEEE Industrial Electronics Society, 2005. IECON 2005. IEEE, 2005. http://dx.doi.org/10.1109/iecon.2005.1568881.

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Saquete, E., P. Martinez-Barco, R. Munoz, M. Negri, M. Speranza, and R. Sprugnoli. "Automatic resolution rule assignment to multilingual Temporal Expressions using annotated corpora." In Thirteenth International Symposium on Temporal Representation and Reasoning (TIME'06). IEEE, 2006. http://dx.doi.org/10.1109/time.2006.9.

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Galib, Asadullah Al, Mahbub Alam, Nowshad Hossain, and Rashedur M. Rahman. "Stock Trading Rule Discovery based on temporal data mining." In Computer Engineering (ICECE). IEEE, 2010. http://dx.doi.org/10.1109/icelce.2010.5700755.

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Lhioui, Chahira, Anis Zouaghi, and Mounir Zrigui. "A rule-based approach for Arabic temporal expression extraction." In 2017 International Conference on Engineering & MIS (ICEMIS). IEEE, 2017. http://dx.doi.org/10.1109/icemis.2017.8273114.

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"MECHANISMS FOR TEMPORAL LOGIC IMPLEMENTATION IN RULE-BASED SYSTEMS." In 3rd International Conference on Agents and Artificial Intelligence. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003310605080513.

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Wałęga, Przemysław A., Bernardo Cuenca Grau, Mark Kaminski, and Egor V. Kostylev. "Tractable Fragments of Datalog with Metric Temporal Operators." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/266.

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We study the data complexity of reasoning for several fragments of MTL - an extension of Datalog with metric temporal operators over the rational numbers. Reasoning in the full MTL language is PSPACE-complete, which handicaps its application in practice. To achieve tractability we first study the core fragment, which disallows conjunction in rule bodies, and show that reasoning remains PSPACE-hard. Intractability prompts us to also limit the kinds of temporal operators allowed in rules, and we propose a practical core fragment for which reasoning becomes TC0-complete. Finally, we show that this fragment can be extended by allowing linear conjunctions in rule bodies, where at most one atom can be intensional (IDB); we show that the resulting fragment is NL-complete, and hence no harder than plain linear Datalog.
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Reports on the topic "Temporal rule"

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Neely, Christopher J. The Temporal Pattern of Trading Rule Returns and Central Bank Intervention: Intervention Does Not Generate Technical Trading Rule Profits,. Federal Reserve Bank of St. Louis, 2000. http://dx.doi.org/10.20955/wp.2000.018.

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Bornholdt, S., and D. Graudenz. General asymmetric neutral networks and structure design by genetic algorithms: A learning rule for temporal patterns. Office of Scientific and Technical Information (OSTI), July 1993. http://dx.doi.org/10.2172/10186812.

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Financial Stability Report - Second Semester of 2020. Banco de la República de Colombia, March 2021. http://dx.doi.org/10.32468/rept-estab-fin.sem2.eng-2020.

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The Colombian financial system has not suffered major structural disruptions during these months of deep economic contraction and has continued to carry out its basic functions as usual, thus facilitating the economy's response to extreme conditions. This is the result of the soundness of financial institutions at the beginning of the crisis, which was reflected in high liquidity and capital adequacy indicators as well as in the timely response of various authorities. Banco de la República lowered its policy interest rates 250 points to 1.75%, the lowest level since the creation of the new independent bank in 1991, and provided ample temporary and permanent liquidity in both pesos and foreign currency. The Office of the Financial Superintendent of Colombia, in turn, adopted prudential measures to facilitate changes in the conditions for loans in effect and temporary rules for rating and loan-loss provisions. Finally, the national government expanded the transfers as well as the guaranteed credit programs for the economy. The supply of real credit (i.e. discounting inflation) in the economy is 4% higher today than it was 12 months ago with especially marked growth in the housing (5.6%) and commercial (4.7%) loan portfolios (2.3% in consumer and -0.1% in microloans), but there have been significant changes over time. During the first few months of the quarantine, firms increased their demands for liquidity sharply while consumers reduced theirs. Since then, the growth of credit to firms has tended to slow down, while consumer and housing credit has grown. The financial system has responded satisfactorily to the changes in the respective demands of each group or sector and loans may grow at high rates in 2021 if GDP grows at rates close to 4.6% as the technical staff at the Bank expects; but the forecasts are highly uncertain. After the strict quarantine implemented by authorities in Colombia, the turmoil seen in March and early April, which was evident in the sudden reddening of macroeconomic variables on the risk heatmap in Graph A,[1] and the drop in crude oil and coal prices (note the high volatility registered in market risk for the region on Graph A) the local financial markets stabilized relatively quickly. Banco de la República’s credible and sustained policy response played a decisive role in this stabilization in terms of liquidity provision through a sharp expansion of repo operations (and changes in amounts, terms, counterparties, and eligible instruments), the purchases of public and private debt, and the reduction in bank reserve requirements. In this respect, there is now abundant aggregate liquidity and significant improvements in the liquidity position of investment funds. In this context, the main vulnerability factor for financial stability in the short term is still the high degree of uncertainty surrounding loan quality. First, the future trajectory of the number of people infected and deceased by the virus and the possible need for additional health measures is uncertain. For that reason, there is also uncertainty about the path for economic recovery in the short and medium term. Second, the degree to which the current shock will be reflected in loan quality once the risk materializes in banks’ financial statements is uncertain. For the time being, the credit risk heatmap (Graph B) indicates that non-performing and risky loans have not shown major deterioration, but past experience indicates that periods of sharp economic slowdown eventually tend to coincide with rises in non-performing loans: the calculations included in this report suggest that the impact of the recession on credit quality could be significant in the short term. This is particularly worrying since the profitability of credit establishments has been declining in recent months, and this could affect their ability to provide credit to the real sector of the economy. In order to adopt a forward-looking approach to this vulnerability, this Report presents several stress tests that evaluate the resilience of the liquidity and capital adequacy of credit institutions and investment funds in the event of a hypothetical scenario that seeks to simulate an extreme version of current macroeconomic conditions. The results suggest that even though there could be strong impacts on the credit institutions’ volume of credit and profitability under such scenarios, aggregate indicators of total and core capital adequacy will probably remain at levels that are above the regulatory limits over the horizon of a year. At the same time, the exercises highlight the high capacity of the system's liquidity to face adverse scenarios. In compliance with its constitutional objectives and in coordination with the financial system's security network, Banco de la República will continue to closely monitor the outlook for financial stability at this juncture and will make the decisions that are necessary to ensure the proper functioning of the economy, facilitate the flow of sufficient credit and liquidity resources, and further the smooth operation of the payment systems. Juan José Echavarría Governor
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