AN ONTOLOGY DRIVEN DATA MINING PROCESS

作者: Laurent Brisson , Martine Collard

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摘要: This paper deals with knowledge integration in a data mining process. We suggest to model domain during business understanding and steps order build an ontology driven information system (ODIS). present the KEOPS Methodology based on this approach. In KEOPS, ODIS is dedicated tasks. It allows using expert for efficient selection, preparation interpretation. paper, we detail each of these define part-way interestingness measure that integrates both objective subjective criteria evaluate relevance according knowledge.

参考文章(10)
Yves Bastide, Nicolas Pasquier, Rafik Taouil, Lotfi Lakhal, Closed Set Based Discovery of Small Covers for Association Rules. Proc. 15èmes Journées Bases de Données Avancées, BDA. pp. 361- 381 ,(1999)
Ramakrishnan Srikant, Rakesh Agrawal, Mining Generalized Association Rules very large data bases. pp. 407- 419 ,(1995)
Petr Berka, Ivan Bruha, Discretization and Grouping: Preprocessing Steps for Data Mining european conference on principles of data mining and knowledge discovery. pp. 239- 245 ,(1998) , 10.1007/BFB0094825
Howard Saul Becker, Sociological Work: Method and Substance ,(1970)
KEN MCGARRY, A survey of interestingness measures for knowledge discovery Knowledge Engineering Review. ,vol. 20, pp. 39- 61 ,(2005) , 10.1017/S0269888905000408
A. Penarrubia, A. Fernandez-Caballero, P. Gonzalez, F. Botella, A. Grau, O. Martinez, Ontology-based interface adaptivity in Web-based learning systems international conference on advanced learning technologies. pp. 435- 439 ,(2004) , 10.1109/ICALT.2004.1357452
Zoubida Kedad, Elisabeth Metais, Ontology-based data cleaning Lecture Notes in Computer Science. pp. 137- 149 ,(2002)
Pavel Shvaiko, Jerome Euzenat, Pieter De Leenheer, Aldo De Moor, Context-driven Disambiguation in Ontology Elicitation Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet. ,(2005)