2PALIOURAS G, PAPATHEODOROU C, KARKALETSIS V, et al. Clustering the users of large Web sites into communities[Z]. Proceedings of the 17th International Conference on Machine Learning, San Francisco: Morgan Kaufmann Publishers,2000.
3NANOPOULOS A, MANOLOPOULOS Y. Mining patterns from graph traversals[J]. Data and Knowledge Engineering, 2001,37(3)243-266.
4BAGLIONI M, FERRARA U, ROMEI A, et al. Preprocessing and mining Web log data for Web personalization[Z]. Proceedings of 8th Natl' Conf of the Italian Association for Artificial Intelligence, Pisa,Italy,2003.
5SPILIOPOULOU M, MOBASHER B, BERENDT B, et al. A framework for the evaluation of session reconstruction heuristics in Web-usage analysis[J]. INFORMS Journal on Computing,2003,15(5)171-179.
6CHAKRABARTI S. Data mining for hypertext: A tutorial survey[J]. SIGKDD Exploration, 2000, 1(2) 1-11.
7PERKOWITZ M, ETZIONI O. Adaptive sites: Automatically learning from user access patterns[Z]. Proceedings of 6th Int'l World Wide Web Conf Santa Clara, California, 1997.
8PITKOW J. In search of reliable usage data on the WWW[Z]. Proceedings of 6th Int'l World Wide Web Conf Santa Clara, California, 1997.
9GRAHAM-CUMMING J. Hits and miss-es: A year watching the Web[Z]. Proceedings of 6th Int'l World Wide Web Conf Santa Clara, California, 1997.
10ZAIANE O R, WASEDA M, HAN J. Discovering Web access patterns and trends by applying OLAP and DATA mining techonlogy on Web logs[Z]. Proceeding of the IEEE International Forum on Research and Technology Advances in Digital Libraries,Los Alamitos,Santa Babara,CA 1998.
