Mining Conditional Contrast Patterns
暂无分享,去创建一个
Guimei Liu | Limsoon Wong | Guozhu Dong | Jinyan Li | Jinyan Li | L. Wong | Guimei Liu | G. Dong
[1] Christophe Rigotti,et al. A condensed representation to find frequent patterns , 2001, PODS '01.
[2] Usama M. Fayyad,et al. Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning , 1993, IJCAI.
[3] Nicolas Pasquier,et al. Discovering Frequent Closed Itemsets for Association Rules , 1999, ICDT.
[4] Bernhard Ganter,et al. Formal Concept Analysis: Mathematical Foundations , 1998 .
[5] Toon Calders,et al. Mining All Non-derivable Frequent Itemsets , 2002, PKDD.
[6] Marzena Kryszkiewicz. Concise representation of frequent patterns based on disjunction-free generators , 2001, Proceedings 2001 IEEE International Conference on Data Mining.
[7] Jaideep Srivastava,et al. Selecting the right interestingness measure for association patterns , 2002, KDD.
[8] Stephen D. Bay,et al. Detecting Group Differences: Mining Contrast Sets , 2001, Data Mining and Knowledge Discovery.
[9] Geoffrey I. Webb,et al. On detecting differences between groups , 2003, KDD '03.
[10] Ke Wang,et al. Mining patterns that respond to actions , 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).
[11] Wynne Hsu,et al. Mining Changes for Real-Life Applications , 2000, DaWaK.
[12] Jinyan Li,et al. Relative risk and odds ratio: a data mining perspective , 2005, PODS '05.
[13] Laks V. S. Lakshmanan,et al. Mining frequent itemsets with convertible constraints , 2001, Proceedings 17th International Conference on Data Engineering.
[14] Jian Pei,et al. CLOSET+: searching for the best strategies for mining frequent closed itemsets , 2003, KDD '03.
[15] Jinyan Li,et al. Efficient mining of emerging patterns: discovering trends and differences , 1999, KDD '99.
[16] Jinyan Li,et al. Interestingness of Discovered Association Rules in Terms of Neighborhood-Based Unexpectedness , 1998, PAKDD.
[17] E. Lander,et al. Gene expression correlates of clinical prostate cancer behavior. , 2002, Cancer cell.
[18] Mohammed J. Zaki,et al. CHARM: An Efficient Algorithm for Closed Itemset Mining , 2002, SDM.
[19] Z. Pawlak. Rough Sets: Theoretical Aspects of Reasoning about Data , 1991 .
[20] Tomasz Imielinski,et al. Mining association rules between sets of items in large databases , 1993, SIGMOD Conference.
[21] J. Downing,et al. Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling. , 2002, Cancer cell.
[22] Johannes Gehrke,et al. A framework for measuring changes in data characteristics , 1999, PODS '99.