Journal article
Mining web navigations for intelligence
Decision Support Systems, Vol.41(3), pp.574-591
03/01/2006
DOI: 10.1016/j.dss.2004.06.011
Abstract
The Internet is one of the fastest growing areas of intelligence gathering. We present a statistical approach, called principal clusters analysis, for analyzing millions of user navigations on the Web. This technique identifies prominent navigation clusters on different topics. Furthermore, it can determine information items that are useful starting points to explore a topic, as well as key documents to explore the topic in greater detail. Trends can be detected by observing navigation prominence over time. We apply this technique on a large popular website. The results show promise in web intelligence mining.
Details
- Title: Subtitle
- Mining web navigations for intelligence
- Creators
- Harris Wu - Old Dominion UniversityMichael Gordon - University of Michigan–Ann ArborKurtis DeMaagd - University of Michigan–Ann ArborWeiguo Fan - Virginia Tech
- Resource Type
- Journal article
- Publication Details
- Decision Support Systems, Vol.41(3), pp.574-591
- Publisher
- Elsevier B.V
- DOI
- 10.1016/j.dss.2004.06.011
- ISSN
- 0167-9236
- eISSN
- 1873-5797
- Language
- English
- Date published
- 03/01/2006
- Academic Unit
- Business Analytics
- Record Identifier
- 9984380404002771
Metrics
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