Facilitating Active Multidimensional Association Mining with User Preference Ontology

Multidimensional association mining from data warehouse has become a knowledge discovery paradigm because it provides more specific conditional settings for target mining data, thus can generate rules more close to users’ needs. Yet data warehouse is subject to change by time or the modifications of...

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Veröffentlicht in:	Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03 Jg. 3; S. 437 - 440
Hauptverfasser:	Wu, Chin-Ang, Lin, Wen-Yang, Wu, Chuan-Chun
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	Washington, DC, USA IEEE Computer Society 15.09.2009 IEEE
Schriftenreihe:	ACM Conferences
Schlagworte:	Active mining Association rules Computing methodologies > Artificial intelligence > Knowledge representation and reasoning Computing methodologies > Artificial intelligence > Knowledge representation and reasoning > Semantic networks Computing methodologies > Machine learning > Machine learning approaches > Rule learning Conferences Data mining Data warehouse mining Data warehouses Electronic mail Information management Information systems > Data management systems > Information integration > Data warehouses Information systems > Information retrieval > Users and interactive retrieval > Personalization Information systems > Information systems applications > Data mining Information systems > Information systems applications > Decision support systems > Data warehouses Information systems > World Wide Web > Web searching and information discovery > Personalization Intelligent agent Knowledge management Multidimensional association rule mining Multidimensional systems Ontologies Ontology Multidimensional association rule mining Ontology Active mining Data warehouse mining
ISBN:	0769538010, 9780769538013
Online-Zugang:	Volltext
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