Mining web navigations for intelligence

Mining web navigations for intelligence

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Article ID: iaor20061862
Country: Netherlands
Volume: 41
Issue: 3
Start Page Number: 574
End Page Number: 591
Publication Date: Mar 2006
Journal: Decision Support Systems
Authors: , , ,
Keywords: internet, datamining
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.

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