[1]AGRAWAL R,SRIKANT R.Fast algorithms for mining association rules [C]// Proceedings of the 20th International Conference on Very Large Data Bases.San Francisco:Morgan Kaufmann,1994:487-499.
[2]BAY D S, PAZZANI M J. Detecting change in categorical data: mining contrast sets[C]// Proceedings of the 5th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York: ACM, 1999: 302-306.
[3]WANG HAIXUN, FAN WEI, YU P S, et al. Mining concept-drifting data streams using ensemble classifiers[C]// Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York:ACM, 2003:226-235.
[4]DONG GUOZHU, LI JINYAN. Efficient Mining of emerging patterns: discovering trends and differences[C]// Proceedings of the 5th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York: ACM,1999: 43-52.
[5]BAILEY J, MANOUKIAN T, RAMAMOHANARAO K. Fast algorithms for mining emerging patterns[C]// Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery. London: Springer-Verlag, 2002: 39-50
[6]FAN HONGJIAN, RAMAMOHANARAO K. An efficient single-scan algorithm for mining essential jumping emerging patterns for classification[C]// Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining. London: Springer-Verlag, 2002:456-462.
[7]LI JINYAN, LIU GUIMEI, WONG L. Mining statistically important equivalence classes and delta-discriminative emerging patterns[C]// Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York: ACM, 2007:430-439.
[8]BAILEY J, MANOUKIAN T, RAMAMOHANARAO K. A fast algorithm for computing hypergraph transversals and its application in mining emerging patterns[C]// Proceedings of the Third IEEE International Conference on Data Mining. Washington, DC: IEEE Computer Society,2003: 485-488.
[9]MINATO S. Zero-suppressed BDDs for set manipulation in combinatorial problems[C]// Proceedings of the 30th International Design Automation Conference.New York: ACM, 1993:272-277.
[10]LOEKITO E, BAILEY J. Fast mining of high dimensional expressive contrast patterns using zero-suppressed binary decision diagrams[C]// Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York: ACM, 2006:307-316.
[11]GARCíA-BORROTO M, MARTíNEZ-TRINIDAD J F, CARRASCO-OCHOA J A. Fuzzy emerging patterns for classifying hard domains[J]. Knowledge and Information System,2011,28(2): 473-489.
[12]DONG GUOZHU, ZHANG XIUZHEN, WONG L, et al. CAEP: Classification by aggregating emerging patterns[C]// Proceedings of 2nd Discovery Science, LNCS 1721. Berlin: Springer-Verlag, 1999:30-42.
[13]LI JINYAN, DONG GUOZHU, RAMAMOHANARAO K. Making use of the most expressive jumping emerging patterns for classification[C]// Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications. London: Springer-Verlag, 2000:220-232.
[14]LI JINYAN, DONG GUOZHU, RAMAMOHANARAO K, et al. DeEPs: A new instance-based lazy discovery and classification system[J]. Machine Learning, 2004, 54(2):99-124.
[15]FAN HONGJIAN, RAMAMOHANARAO K. A weighting scheme based on emerging patterns for weighted support vector machines[C]// IEEE International Conference on Granular Computing 2005. Piscataway: IEEE, 2005:435-440.
[16]LI JINYAN, LIU HUIQING, DOWNING J R, et al. Simple rules underlying gene expression profiles of more than six subtypes of Acute Lymphoblastic Leukemia (ALL) patients[J]. Bioinformatics, 2003,19(1):71-78.
[17]LI JINYAN, WONG L. Identifying good diagnostic gene groups from gene expression profiles using the concept of emerging patterns[J]. Bioinformatics, 2002,18(10):1406-1407.
[18]LIU QINGBAO, DONG GUOZHU. A contrast pattern based clustering quality index for categorical data[C]// 9th IEEE International Conference on Data Mining. Piscataway: IEEE, 2009:860-865.
[19]DONG GUOZHU, SA TING. Analyzing and tracking weblog communities using discriminative collection representatives[C]// Proceedings of 3rd SBP. Berlin: Springer-Verlag, 2010: 256-264.
[20]DONG GUOZHU, FORE N. Discovering dynamic logical blog communities based on their distinct interest profiles[EB/OL].[2010-05-30].http://www.thinkmind.org/download.php?articleid=sotics_2011_2_10_30018.
[21]许红涛, 范明, 昝红英. 一种基于EP的中文文本自动分类算法[J].计算机研究与发展, 2005, 42(Sl): 351-355.
[22]李艳, 范明. 基于基本显露模式的电子邮件分类与过滤技术. 南京大学学报:自然科学版, 2008,44(5):544-550.
[23]DUAN LEI, TANG CHANGJIE, TANG LIANG, et al. Mining class contrast functions by gene expression programming[C]// Proceedings of the 5th International Conference on Advanced Data Mining and Applications. Berlin: Springer-Verlag, 2009: 116-127.
[24]DUAN LEI, ZUO JIE, ZHANG TIANQING, et al. Mining contrast inequalities in numeric dataset[C]// Proceedings of the 11th International Conference on Web-Age Information Management. Berlin: Springer-Verlag, 2010:194-205. |