[1] 王斌, 潘文锋. 基于内容的垃圾邮件过滤技术综述[J]. 中文信息学报,2005(5): 1-10.
[2] Belkin NJ, Croft W B. Information filtering and information retrieval: two sides of the same coin [J]. Communications of ACM, 1994, 35 (12): 29-38.
[3] Robertson S and Soboroff I. The TREC-10 filtering track final report [A]. In: Proceeding of Tenth Text Retrieval Conference[C]. Gaithersburg, USA: MD, 2001, 26-37.
[4] Robertson S and Soboroff I. The TREC-11 filtering track final report [A]. In: Proceeding of Eleventh Text Retrieval Conference [C]. Gaithersburg, USA: MD, 2002, 26-37.
[5] Yang Y, Yoo S, Zhang J, Kisiel B. Robustness of Adaptive Filtering Methods In a Cross-benchmark Evaluation [A]. In: Proceedings of the 28th annual international ACM SIGIR [C]. Salvador, Brazil: ACM Press, 2005, 33-39.
[6] Ault T, Yang Y. Knn, rocchio and metrics for information filtering at trec-10[A]. In Proceeding of Tenth Text Retrieval Conference [C]. Gaithersburg, USA: MD, 2001, 84-92.
[7] Allan J. Incremental relevance feedback for information filtering [A]. In: Proceedings of the 19th annual international ACM SIGIR[C]. Zurich Switzerland: Center for Intelligent Information Retrieval, 1996, 270-277.
[8] Zhang Y and Callan J. The bias problem and language models in adaptive filtering [A]. In Proceeding of Tenth Text Retrieval Conference[C]. Gaithersburg, USA: MD, 2001, 34-41.
[9] Zhang Y and Callan J. Maximum likelihood estimation for filtering thresholds [A]. In The Twenty Fourth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’02) [C]. New York: The Association for Computing Machinery. 2002, 294-302.
[10] Yang Y, Kisiel B. Margin-based Local Regression for Adaptive Filtering [A]. In: Proceedings of the twelfth international conference on Information and knowledge management [C]. New Orleans, Louisiana, USA: CIKM, 2003, 88-95.
[11] 甄彤. 基于层次与划分方法的聚类算法研究[J].计算机工程与应用, 2004, 01(6): 178-180.
[12] 苏中, 马少平, 杨强等. 基于Web-Log Mining的Web文档聚类[J]. 软件学报, 2002, 13(01): 99-104.
[13] 吴帆, 李石君. 一种高效的层次聚类分析算法[J].计算机工程, 2004, 30(9):70-71.
[14] Wang L, Kitsuregawa M. Use Link-based Clustering to Improve Web Search Results [A]. In: Proceedings of the second International Conference on Web information Systems Engineering [C]. Washington,DC: WISE, 2001, 119-128.
[15] Zhang T, Ramakrishnan R, Livny M. BIRCH: an efficient data clustering method for very large databases [A]. In: Proceedings of the 1996 ACM SIGMOD international conference[C]. Montreal: ACM Press, 1996, 103-114.
[16] Zhang T, Ramakrishnan R, Livny M. Zhang. BIRCH: a new data clustering algorithm and its applications [J]. Journal of Data Mining and Knowledge Discovery, 1997, 1(2): 141-182.