Raising, to enhance rule mining in Web marketing with the use of an ontology
Document Type
Syllabus
Publication Date
12-1-2007
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. © 2008, IGI Global.
Identifier
62449296138 (Scopus)
ISBN
[9781599046181]
Publication Title
Data Mining with Ontologies Implementations Findings and Frameworks
External Full Text Location
https://doi.org/10.4018/978-1-59904-618-1.ch002
First Page
18
Last Page
36
Recommended Citation
Zhou, Xuan and Geller, James, "Raising, to enhance rule mining in Web marketing with the use of an ontology" (2007). Faculty Publications. 13132.
https://digitalcommons.njit.edu/fac_pubs/13132
