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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Web-Site Boundary Detection Using Incremental RandomWalk Clustering
verfasst von : Ayesh Alshukri, Frans Coenen, Michele Zito
Erschienen in: Research and Development in Intelligent Systems XXVIII
Verlag: Springer London
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In this paper we describe a random walk clustering technique to addressthe Website Boundary Detection (WBD) problem. The technique is fully described and compared with alternative (breadth and depth first) approaches. The reported evaluation demonstrates that the random walk technique produces comparable or better results than those produced by these alternative techniques, while at the same time visiting fewer ‘noise’ pages. To demonstrate that the good results are not simply a consequence of a randomisation of the input data we also compare with a random ordering technique.