Bisecting K-Means for Clustering Web Log data

Provided by: International Journal of Computer Applications
Topic: Data Management
Format: PDF
Web usage mining is the area of web mining which deals with extraction of useful knowledge from web log information produced by web servers. One of the most important tasks of Web Usage Mining (WUM) is web user clustering which forms groups of users exhibiting similar interests or similar browsing patterns. This paper presents results of clustering techniques for Web log data using k-means and bisecting k-means algorithm. Clusters are formed with respect to similar IP address and packet combinations.

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