Mining the information architecture of the WWW using automated website boundary detection
Author:
Affiliation:
1. Department of Computer Science, University of Liverpool, Ashton Building, Ashton Street, L69 3BX, Liverpool, UK. E-mails: a.alshukri@liverpool.ac.uk, coenen@liverpool.ac.uk
Publisher
IOS Press
Subject
Artificial Intelligence,Computer Networks and Communications,Software
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4. A. Alshukri, F. Coenen and M. Zito, Incremental web-site boundary detection using random walks, in: Proceedings of the 7th International Conference on Machine Learning and Data Mining, Springer, New York, USA, 2011, pp. 414–427.
5. A. Alshukri, F. Coenen and M. Zito, Web-site boundary detection using incremental random walk clustering, in: Proceedings of the 31st SGAI International Conference, Springer, Cambridge, UK, 2011, pp. 255–268.
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