Search results for "Multidimensional design"

showing 4 items of 4 documents

Une nouvelle approche mixte d'enrichissement de dimensions dans un schéma multidimensionnel en constellation Application à la biodiversité des oiseaux

2015

International audience; Les entrepôts de données (DW) et les systèmes OLAP sont des technologies d'analyse en ligne pour de grands volumes de données, basés sur les be-soins des utilisateurs. Leur succès dépend essentiellement de la phase de conception où les exigences fonctionnelles sont confrontées aux sources de données (méthodologie de conception mixte). Cependant, les méthodes de conception existantes semblent parfois inefficaces, lorsque les décideurs définissent des exi-gences fonctionnelles qui ne peuvent être déduites à partir des sources de don-nées (approche centrée sur les données), ou lorsque le décideur n'a pas intégré tous ces besoins durant la phase de conception (approche c…

Multidimensional design[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][SDE] Environmental Sciences[ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR]Data Warehouse[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]OLAPBiodiversity[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI][ SDE ] Environmental Sciences[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB][INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR][SDE]Environmental Sciences[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB][INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR][ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]Data mining
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Dimension enrichment with factual data during the design of multidimensional models: application to bird biodiversity

2015

20 pages; International audience; Data warehouses (DW) and OLAP systems are technologies allowing the on-line analysis of huge volume of data according to decision-makers’ needs. Designing DW involves taking into account functional requirements and data sources (mixed design methodology) [1]. But, for complex applications, existing automatic design methodologies seem inefficient. In some cases, decision-makers need querying, as a dimension, data which have been defined as facts by actual automatic mixed approachs. Therefore, in this paper, we offer a new mixed refinement methodology relevant to constellation multidimensional schema. The proposed methodolgy allows to decision-makers to enric…

Multidimensional design[SDE] Environmental SciencesComputer science0102 computer and information sciences02 engineering and technologycomputer.software_genre01 natural sciencesData warehouseSchema (psychology)0202 electrical engineering electronic engineering information engineeringDesign methodsData miningConstellation[ SDE.BE ] Environmental Sciences/Biodiversity and Ecology[STAT.AP]Statistics [stat]/Applications [stat.AP]OLAPOnline analytical processing[ STAT.AP ] Statistics [stat]/Applications [stat.AP]Functional requirementData warehouse010201 computation theory & mathematics[SDE]Environmental Sciences020201 artificial intelligence & image processingData miningMultidimensional design[SDE.BE]Environmental Sciences/Biodiversity and Ecologycomputer
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Mixed Driven Refinement Design of Multidimensional Models based on Agglomerative Hierarchical Clustering

2015

20 pages; International audience; Data warehouses (DW) and OLAP systems are business intelligence technologies allowing the on-line analysis of huge volume of data according to users' needs. The success of DW projects essentially depends on the design phase where functional requirements meet data sources (mixed design methodology) (Phipps and Davis, 2002). However, when dealing with complex applications existing design methodologies seem inefficient since decision-makers define functional requirements that cannot be deduced from data sources (data driven approach) and/or they have not sufficient application domain knowledge (user driven approach) (Sautot et al., 2014b). Therefore, in this p…

[SDE] Environmental SciencesMultidimensional designData Warehouse[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingOLAPbusiness.industryComputer scienceOnline analytical processingCLUSTERING HIERARCHIQUEVolume (computing)Functional requirementcomputer.software_genreData warehouseData-driven[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingApplication domain[SDE]Environmental SciencesBusiness intelligenceData MiningData mining[SDE.BE]Environmental Sciences/Biodiversity and EcologybusinessDesign methodscomputerProceedings of the 17th International Conference on Enterprise Information Systems
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Why do female and male taekwondo athletes win the bout? An analysis based on the Olympic weight category and the result of the bout

2020

Combat sports such as taekwondo, where athletes compete against an opponent require control of technique and tactics, as well as knowing the optimal performance of opponents to win the bout. Therefore, the aim of the present study was to analyse the Olympic competitors (London Olympic Games), according to the weight category (fly, feather, light and heavy) and according to the performance in their fighting (winner vs. loser) in each gender. An observational methodology was used, following a nomothetic, follow-up and multidimensional design of 302 individual performances. The statistical analysis used an ANOVA and T Student test for comparing frequencies. The results obtained indicate signif…

lcsh:SportsWeight CategoriesbiologyresultAthletescombat sportstacticsPhysical Therapy Sports Therapy and Rehabilitationweight categories.Competitor analysisbiology.organism_classificationTest (assessment)taekwondolcsh:GV557-1198.995martial artsTourism Leisure and Hospitality ManagementAnthropologyweight categoriesStatistical analysisMultidimensional designPsychologytechniquesObservational methodologySocial psychologySocial Sciences (miscellaneous)Revista de Artes Marciales Asiáticas
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