Keyword enhanced web structure mining for business intelligence

Authors

L. Vaughan, Vaughan, L.; Faculty of Information and Media Studies, University of Western Ontario, London, ON N6A 5B7, Canada; email: lvaughan@uwo.caFollow
J. You

Document Type

Conference Proceeding

Publication Date

1-1-2009

Volume

4879 LNCS

Journal

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

First Page

161

URL with Digital Object Identifier

https://doi.org/10.1007/978-3-642-01350-8_15

Last Page

168

Abstract

The study proposed the method of keyword enhanced Web structure mining which combines the ideas of Web content mining with Web structure mining. The method was used to mine data on business competition among a group of DSLAM companies. Specifically, the keyword DSLAM was incorporated into queries that searched for co-links between pairs of company Websites. The resulting co-link matrix was analyzed using multidimensional scaling (MDS) to map business competition positions. The study shows that the proposed method improves upon the previous method of Web structure mining alone by producing a more accurate map of business competition in the DSLAM sector. ©Springer-Verlag Berlin Heidelberg 2009.