PATTERN SPACE MAINTENANCE FOR DATA UPDATES AND INTERACTIVE MINING *
暂无分享,去创建一个
Jinyan Li | Limsoon Wong | Guozhu Dong | Yap-Peng Tan | Mengling Feng | Jinyan Li | L. Wong | Yap-Peng Tan | Guozhu Dong | Mengling Feng
[1] J. Steurer,et al. [Relative risk and odds ratio]. , 1997, Praxis.
[2] Gösta Grahne,et al. Fast algorithms for frequent itemset mining using FP-trees , 2005, IEEE Transactions on Knowledge and Data Engineering.
[3] Philip S. Yu,et al. Catch the moment: maintaining closed frequent itemsets over a data stream sliding window , 2006, Knowledge and Information Systems.
[4] Bart Goethals,et al. Proceedings of the ICDM 2003 Workshop on Frequent Itemset Mining Implementations (FIMI'03) , 2003 .
[5] Mohammed J. Zaki,et al. Efficiently mining maximal frequent itemsets , 2001, Proceedings 2001 IEEE International Conference on Data Mining.
[6] Heikki Mannila,et al. Levelwise Search and Borders of Theories in Knowledge Discovery , 1997, Data Mining and Knowledge Discovery.
[7] Jian Pei,et al. CLOSET+: searching for the best strategies for mining frequent closed itemsets , 2003, KDD '03.
[8] Jiawei Han,et al. Maintenance of discovered association rules in large databases: an incremental updating technique , 1996, Proceedings of the Twelfth International Conference on Data Engineering.
[9] Tomasz Imielinski,et al. Mining association rules between sets of items in large databases , 1993, SIGMOD Conference.
[10] Jinyan Li,et al. Relative risk and odds ratio: a data mining perspective , 2005, PODS '05.
[11] Ke Wang,et al. Mining Frequent Itemsets Using Support Constraints , 2000, VLDB.
[12] David Wai-Lok Cheung,et al. A General Incremental Technique for Maintaining Discovered Association Rules , 1997, DASFAA.
[13] Bart Goethals,et al. Advances in Frequent Itemset Mining Implementations: Introduction to FIMI03 , 2003, FIMI.
[14] Anthony K. H. Tung,et al. Incremental maintenance of quotient cube for median , 2004, KDD.
[15] Zhan Li,et al. Knowledge and Information Systems , 2007 .
[16] Ming-Syan Chen,et al. Sliding window filtering: an efficient method for incremental mining on a time-variant database , 2005, Inf. Syst..
[17] Roberto J. Bayardo,et al. Efficiently mining long patterns from databases , 1998, SIGMOD '98.
[18] Srinivasan Parthasarathy,et al. Mining Frequent Itemsets in Evolving Databases , 2002, SDM.
[19] Jian Pei,et al. Mining frequent patterns without candidate generation , 2000, SIGMOD '00.
[20] Nicolas Pasquier,et al. Discovering Frequent Closed Itemsets for Association Rules , 1999, ICDT.