Support Vector Clustering for Web Usage Mining

@inproceedings{Chung2002SupportVC,
  title={Support Vector Clustering for Web Usage Mining},
  author={W. S. Chung},
  year={2002}
}
This paper applies the use of support vector clustering (SVC) in the domain of web usage mining. In this method, the data points are transformed to a high dimensional space called the feature space, where support vectors are used to define a smallest sphere enclosing the data. A soft-margin constant is used to handle outliers. The paper then performs experiments to compare SVC and the K-Means algorithm using a web server log obtained from a real life educational web site. The experimental… CONTINUE READING
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