Raising, to Enhance Rule Mining in Web Marketing with the Use of an Ontology

View Sample PDF

Author(s): Xuan Zhou (VPIsystems Corporation, USA)and James Geller (New Jersey Institute of Technology, USA)
Copyright: 2008
Pages: 19
Source title: Data Mining with Ontologies: Implementations, Findings, and Frameworks
Source Author(s)/Editor(s): Hector Oscar Nigro (Universidad Nacional del Centro de la Provincia de Buenos Aires, Argentina), Sandra Elizabeth Gonzalez Cisaro (Universidad Nacional del Centro de la Provincia de Buenos Aires, Argentina)and Daniel Hugo Xodo (Universidad Nacional del Centro de la Provincia de Buenos Aires, Argentina)
DOI: 10.4018/978-1-59904-618-1.ch002

Keywords: Data Mining / Data Mining and Databases / Information Science Reference / Library & Information Science

Purchase

View Raising, to Enhance Rule Mining in Web Marketing with the Use of an Ontology on the publisher's website for pricing and purchasing information.

Abstract

This chapter introduces Raising as an operation which is used as a pre-processing 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.

The IRMA Community

Research IRM

Raising, to Enhance Rule Mining in Web Marketing with the Use of an Ontology

Purchase

Abstract

Related Content

IRMA Sponsors