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[PDF] Top 20 Enhancing sequential pattern mining with time and reasoning

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Enhancing sequential pattern mining with time and reasoning

Enhancing sequential pattern mining with time and reasoning

... semantic and the medical ...known and not the real medication ...pharmacy and not when the medication is really ...them with expert ... Voir le document complet

139

Using sequential pattern mining to explore learners' behaviors and evaluate their correlation with performance in inquiry-based learning

Using sequential pattern mining to explore learners' behaviors and evaluate their correlation with performance in inquiry-based learning

... ] and Watson & ...the time between two compi- lations, or the score students got at the post-experimental ...actions and variation of parameters we introduced in our study apply here as well, ... Voir le document complet

15

Including spatial relations and scales within sequential pattern extraction

Including spatial relations and scales within sequential pattern extraction

... on mining georeferenced data and is able to consider efficiently the spatial and temporal ...relationships and granularities in a new ...space with an important amount of ...needs ... Voir le document complet

16

Contributions to Pattern Mining in Augmented Graphs

Contributions to Pattern Mining in Augmented Graphs

... on pattern mining in augmented graphs I obtained with ...multidimensional sequential patterns was very difficult for the ...investigate pattern domains that are easier to assimilate for ... Voir le document complet

141

Interaction in Progressive Visual Analytics. An application to progressive sequential pattern mining

Interaction in Progressive Visual Analytics. An application to progressive sequential pattern mining

... human and computer respective strengths (Bertini & Lalanne, 2010 ; ...alizations and make decisions, with computers’ ability to process very large amounts of ...using time-expensive algo- ... Voir le document complet

188

Using sequential pattern mining to explore learners' behaviors and evaluate their correlation with performance in inquiry-based learning

Using sequential pattern mining to explore learners' behaviors and evaluate their correlation with performance in inquiry-based learning

... ] and Watson & ...the time between two compi- lations, or the score students got at the post-experimental ...actions and variation of parameters we introduced in our study apply here as well, ... Voir le document complet

16

Mining Heterogeneous Multidimensional Sequential Patterns

Mining Heterogeneous Multidimensional Sequential Patterns

... on time or order where most of them are based on the Apriori property [1], which states that any super pattern of a non- frequent pattern cannot be ...[7] and ClosSpan [8]. However, these ... Voir le document complet

29

Progressive sequential pattern mining: steerable visual exploration of patterns with PPMT

Progressive sequential pattern mining: steerable visual exploration of patterns with PPMT

... valid, and a system for ex- ploring temporal data with sequential patterns should support them ...The time values form a met- ric space, and the sequence values form a population, ... Voir le document complet

10

Sequential pattern mining on multimedia data

Sequential pattern mining on multimedia data

... in time series is a very active ...directly with the time series and in finding close sub-sequences based on a distance measure such as the Euclidean or the Dynamic Time Warping (DTW) ... Voir le document complet

8

Mining Multivariate Heterogeneous Time Series Models with Computational Intelligence Techniques

Mining Multivariate Heterogeneous Time Series Models with Computational Intelligence Techniques

... heterogeneity and the (abnormally) large quantity of missing ...mensional, time-varying data in an effective manner, with- out data preprocessing, and without imputation or assump- tions ... Voir le document complet

8

Reasoning with Ontologies

Reasoning with Ontologies

... polynomial time data complex- ...rules, and aGRD ...case, and dependencies between rules in the second ...R and each variable x in body(R) occurring in position (p, i), edges with ... Voir le document complet

36

Reasoning with Triggers

Reasoning with Triggers

... logic with linear arithmetics based on a sequent calculus in ...saturated with a finite set of ground instances has been explored ...model reasoning. In the same way, Ge and de Moura describe ... Voir le document complet

30

Reasoning with Style

Reasoning with Style

... Sheets with Multiple Files Modern web applications often use several CSS files to define their ...declaration, and the link elements that are un- der the head ...element with the at- tribute ... Voir le document complet

8

Heterogeneous Graph Mining for Biological Pattern Discovery in Metabolic Pathways

Heterogeneous Graph Mining for Biological Pattern Discovery in Metabolic Pathways

... interactions and biological processes, to cite but a few exam- ...network mining reveals patterns describing distinct aspects of related ...co-regulation, and protein/protein interaction ... Voir le document complet

6

MultiCons: Multiple Consensus Clustering Method Using Frequent Closed Pattern Mining

MultiCons: Multiple Consensus Clustering Method Using Frequent Closed Pattern Mining

... Abstract. Clustering, which aim is to identify groups of similar in- stances in a dataset, is one of the important tasks in data mining. Many clustering algorithms were developed in the last 50 years. However, ... Voir le document complet

20

Visualizing big network traffic data using frequent pattern mining and hypergraphs

Visualizing big network traffic data using frequent pattern mining and hypergraphs

... itemset mining (FIM) to visualize a succinct set of interesting traffic patterns extracted from large traces of communi- cation logs; and (2) visualizing extracted patterns as hypergraphs that clearly ... Voir le document complet

12

CMRules: Mining sequential rules common to several sequences

CMRules: Mining sequential rules common to several sequences

... Mathematics and Computer Sciences, Université Blaise-Pascal Clermont 2, BP 125, 63173 Aubière, cedex, France ...— Sequential rule mining is an important data mining task with wide ... Voir le document complet

18

Spatio-temporal reasoning in CIDOC CRM: an hybrid ontology with GeoSPARQL and OWL-Time

Spatio-temporal reasoning in CIDOC CRM: an hybrid ontology with GeoSPARQL and OWL-Time

... working with GeoSPARQL supposes to structure spatial assertion of geometries as: geo:Feature geo:hasgeom geo:Geometry ...consider time as a graduated line but GeoSPARQL imposes to formalise geometries in ... Voir le document complet

14

Spatio-temporal reasoning in CIDOC CRM: an hybrid ontology with GeoSPARQL and OWL-Time

Spatio-temporal reasoning in CIDOC CRM: an hybrid ontology with GeoSPARQL and OWL-Time

... CIDOC CRM and extensions are ontologies CIDOC CRM and extensions are ontologies dedicated to model Cultural Heritage data EPA extension proposal allows unperfected Cultural Heritage d[r] ... Voir le document complet

21

Discrete Elastic Inner Vector Spaces with Application in Time Series and Sequence Mining

Discrete Elastic Inner Vector Spaces with Application in Time Series and Sequence Mining

... The average AUC (area under the ROC Curve) mea- sure is evaluated for 1-NN classifiers exploiting respec- tively BLAST, SW, NW, LA, PRIDE and eCOS(ν) as alignment methods. One can notice that these datasets are ... Voir le document complet

15

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