[1]HAN J-W, MIEHELINE K. Data mining concepts and techniques [M]. Burlington: Morgan Kaufmann Publishers, 2000.[2]THABTAH F. A review of associative classification mining [J]. Knowledge Engineering Review, 2007, 22(1):37-65.[3]SAFAVIAN S, LANDGREBE D. A survey of decision tree classifier methodology [J]. IEEE Transactions on Systems, Man and Cybernetics, 1991,21(3):660-674.[4]ZHANG G P. Neural network for classification: a survey [J]. IEEE Transactions on Systems, Man and Cybernetics. 2000, 30(4): 451-462. [5]NEAPOLITAN R. Learning Bayesian networks [M]. Upper Saddle River: Prentice Hall, 2003.[6]FRIEDMAN N, GEIGER D, GOLDSZMIDT M. Bayesian network classifier [J]. Machine Learning, 1997, 29(1):131-163.[7]CRISTIANINI N, SHAWE TAYLOR J. An introduction to support vector machines [M]. Cambridge: Cambridge University Press, 2000.[8]COVER T M, HART P. Nearest neighbor pattern classification [J]. IEEE Transactions on Information Theory, 1967, 13(2): 21-27.[9]LIU B, HSU W, MA Y. Integrating classification and association rule mining [C]// KDD98: Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining. New York: ACM, 1998:80-86.[10]LI W, HAN J, PEI J. CMAR: accurate and efficient classification based on multiple class-association rules [C]// ICDM01: Proceedings of 2001 IEEE International Conference on Data Mining. Piscataway: IEEE, 2001: 369-376. [11]YIN X, HAN J. CPAR: classification based on predictive association rules [C]// SDM03: Proceedings of 2003 SIAM International Conference on Data Mining. San Francisco: SIAM, 2003: 331-335.[12]BARALIS E, GARZA P. A lazy approach to pruning classification rules [C]// ICDM 02: Proceedings of 2002 IEEE International Conference on Data Mining. Piscataway: IEEE, 2002: 35-42.[13]VELOSO A, MEIRA W, ZAKI M J. Lazy association classification [C]// ICDM06: Proceedings of 2006 IEEE International Conference on Data Mining. Piscataway: IEEE, 2006: 645-654.[14]吉根林,孙志挥.挖掘支持度和兴趣度最优的数量关联规则[J].小型微型计算机系统, 2004,25(2),225-228.[15]杨善林,李永森,胡笑旋,等.K-means算法中的K值优化问题研究[J]. 系统工程理论与实践,2006,26(2),97-101.[16]李学明,杨阳,秦东霞. 基于频繁闭项集的新关联分类算法ACCF[J].电子科技大学学报, 2012,41(1),105-109.[17]ZAKI M J, HSIAO C-J. Charm: an efficient algorithm for closed association rules mining, TR99-10[R]. Computer Science Department of Rensselaer Polytechnic Institute, 1999. |