Raising, to enhance rule mining in Web marketing with the use of an ontology

Xuan Zhou, James Geller

Research output: Chapter in Book/Report/Conference proceedingChapter

10 Scopus citations

Abstract

This chapter introduces Raising as an operation that is used as a preprocessing step for data mining. In the Web Marketing Project, people's demographic and interest information has been collected from the Web. Rules have been derived using this information as input for data mining. The Raising step takes advantage of an interest ontology to advance data mining and to improve rule quality. The definition and implementation of Raising are presented in this chapter. Furthermore, the effects caused by Raising are analyzed in detail, showing an improvement of the support and confidence values of useful association rules for marketing purposes.

Original languageEnglish (US)
Title of host publicationData Mining with Ontologies
Subtitle of host publicationImplementations, Findings, and Frameworks
PublisherIGI Global
Pages18-36
Number of pages19
ISBN (Print)9781599046181
DOIs
StatePublished - 2007

All Science Journal Classification (ASJC) codes

  • Social Sciences(all)

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