[1] GOLAB L, TAMEROZSU M. Issues in data stream management[J]. SIGMOD Record, 2003, 32(2): 5-14. [2] DOMINGOS P, HULTEN G. Mining highspeed data streams[C]∥ Proc of the 6th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Boston, MA, USA: [s. n.], 2000: 71-80. [3] KIRA K, RENDELL L. The feature selection problem: traditional methods and a new algorithm[C]∥Proceedings of the Ninth National Conference on Artificial Intelligence, New Orleans: AAAI,1992: 129-134. [4] WANG W, BATTITI R. Identifying intrusions in computer networks with principal component analysis [C]∥Proceedings of the First International Conference on Availability Reliability and Security. Vienna, Austria: IEEE Computer Society, 2006: 270-279. [5] ZAINAL A, MAAROF M, SHAMSUDDIN S. Feature selection using rough set in intrusion detection[C]∥IEEE TENCON. Hongkong: IEEE,2006: 1-4. [6] 胡清华,于达仁,谢宗霞.基于邻域粒化和粗糙逼近的数值属性约简[J].软件学报,2008,19(3): 640-649. HU Qinghua, YU Daren, XIE Zongxia. Numerical attribute reduction based on neighborhood granulation and rough approximation[J]. Journal of Software, 2008,19(3): 640-649. [7] TAN P, STEINBACH M, KUMAR V. Introduction of data mining [M]. Beijing: Pearson Education Press, 2006: 30-35. [8] HOLTE R. Very simple classification rules perform well on most commonly used datasets[J]. Machine Learning, 1993,1(11): 63-90. [9] 叶建芳,潘晓弘,王正肖,等.基于免疫离散粒子群算法的调度属性选择[J].浙江大学学报:工学版,2009,43(12): 2203-2207. YE Jianfang, PAN Xiaohong, WANG Zhengxiao, et al. Scheduling feature selection based on immune binary partial swarm optimization\ [J\]. Journal of Zhejiang University: Engineering Science, 2009, 43(12): 2203-2207. [10] 倪丽萍,倪志伟,吴昊,等.基于分形维数和蚁群算法的属性选择方法[J].模式识别与人工智能,2009,22(2): 293-298. NI Liping, NI Zhiwei, WU Hao, et al. Feature selection method based on fractal dimension and ant colony optimization algorithm[J]. Pattern Recognition and Artificial Intelligence, 2009,22(2): 293-298. [11] WANG Y, WONG A K C. From association to classification: inference using weight of evidence[J]. IEEE Transactions on Knowledge and Data Engineering, 2003,15(3): 764-767. [12] MOEZ H, ALEC Y,RAY F. Variable selection in the credit card industry[C/OL]. [2009-03-20]. http:∥www.lexjansen.com/cgibin/xsl_transform.php?x=nesug06&s=nesug&c=nesug. [13] FAYYAD U, IRANI K. Multi interval discrimination of continuous values attributes for classification learning[C]∥ Proceeding International Joint Conference Artificial Intelligence. Cahambery, France:[s. n.],1993: 1022-1029. [14] HOLMES G, KIRKBY R, PFAHRINGER B. MOA: Massive online analysis[EB/OL].[2011-05-12]. http:∥sourceforge.net /projects/moadatastream, 2007. [15] HO T. The random subspace method for constructing decision forests[J]. IEEE Transaction on Pattern Analysis and Machine Intelligence, 1998,20(8): 832-844. [16] HULTEN G, SPENCER L, DOMINGOS P. Mining timechanging data streams[C]∥ Proc of the 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. San Francisco, CA, USA: [s. n.], 2001: 97-106. [17] NEWMAN D. KDD Cup Data. [EB/OL]. [2009-03-13]. http:∥kdd.ics.uci.edu/ databases/kddcup99/kddcup99.html. [18] LI P, HU X, LIANG Q,et al.Concept drifting detection on noisy streaming data in random ensemble decision trees[C]∥ Proceedings of the 6th International Conference on Machine Learning and Data Mining. German: Lecture Notes in Computer Science,2009: 236-250. |