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Ontology for Data Mining and its Application to Mining Incomplete Data

Ontology for Data Mining and its Application to Mining Incomplete Data

Hai Wang, Shouhong Wang
Copyright: © 2008 |Volume: 19 |Issue: 4 |Pages: 10
ISSN: 1063-8016|EISSN: 1533-8010|ISSN: 1063-8016|EISBN13: 9781615200405|EISSN: 1533-8010|DOI: 10.4018/jdm.2008100105
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MLA

Wang, Hai, and Shouhong Wang. "Ontology for Data Mining and its Application to Mining Incomplete Data." JDM vol.19, no.4 2008: pp.81-90. http://doi.org/10.4018/jdm.2008100105

APA

Wang, H. & Wang, S. (2008). Ontology for Data Mining and its Application to Mining Incomplete Data. Journal of Database Management (JDM), 19(4), 81-90. http://doi.org/10.4018/jdm.2008100105

Chicago

Wang, Hai, and Shouhong Wang. "Ontology for Data Mining and its Application to Mining Incomplete Data," Journal of Database Management (JDM) 19, no.4: 81-90. http://doi.org/10.4018/jdm.2008100105

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Abstract

Ontology has recently received considerable attention in the knowledge management community. This article discusses the needs of ontology development for data mining. Based on a domain analysis of knowledge representations in data mining, it proposes a generic structure of ontologies for data mining. Furthermore, this article specifies the unique ontology resources of the subdomain of innovative data mining with incomplete data. A project on an ontology-based data mining system for discovering knowledge from incomplete data demonstrates the effectiveness of ontology in knowledge management.

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