Ontology for Data Mining and its Application to Mining Incomplete Data

Ontology for Data Mining and its Application to Mining Incomplete Data

Hai Wang (Saint Mary’s University, Canada) and Shouhong Wang (University of Massachusetts Dartmouth, USA)
Copyright: © 2008 |Pages: 10
DOI: 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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