A new framework for itemset generation

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A new framework for itemset generation

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Symposium on Principles of Database Systems archive
Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems table of contents

Seattle, Washington, United States

Pages: 18 - 24

Year of Publication: 1998

ISBN:0-89791-996-3

Authors

Charu C. Aggarwal	IBM T.J. Watson Research Center Yorktown Heights, NY
Philip S. Yu	IBM T.J. Watson Research Center Yorktown Heights, NY

Sponsors

SIGART: ACM Special Interest Group on Artificial Intelligence
SIGMOD: ACM Special Interest Group on Management of Data
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 4, Downloads (12 Months): 45, Citation Count: 25

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references cited by index terms collaborative colleagues

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Charu C. Aggarwal , Philip S. Yu, Online Generation of Association Rules, Proceedings of the Fourteenth International Conference on Data Engineering, p.402-411, February 23-27, 1998
	2	Rakesh Agrawal , Tomasz Imieliński , Arun Swami, Mining association rules between sets of items in large databases, Proceedings of the 1993 ACM SIGMOD international conference on Management of data, p.207-216, May 25-28, 1993, Washington, D.C., United States
	3	Rakesh Agrawal , Ramakrishnan Srikant, Fast Algorithms for Mining Association Rules in Large Databases, Proceedings of the 20th International Conference on Very Large Data Bases, p.487-499, September 12-15, 1994
	4	Sergey Brin , Rajeev Motwani , Craig Silverstein, Beyond market baskets: generalizing association rules to correlations, Proceedings of the 1997 ACM SIGMOD international conference on Management of data, p.265-276, May 11-15, 1997, Tucson, Arizona, United States
	5	Sergey Brin , Rajeev Motwani , Jeffrey D. Ullman , Shalom Tsur, Dynamic itemset counting and implication rules for market basket data, Proceedings of the 1997 ACM SIGMOD international conference on Management of data, p.255-264, May 11-15, 1997, Tucson, Arizona, United States
	6	Ming-Syan Chen , Jiawei Han , Philip S. Yu, Data Mining: An Overview from a Database Perspective, IEEE Transactions on Knowledge and Data Engineering, v.8 n.6, p.866-883, December 1996 [doi>10.1109/69.553155]
	7	Mika Klemettinen , Heikki Mannila , Pirjo Ronkainen , Hannu Toivonen , A. Inkeri Verkamo, Finding interesting rules from large sets of discovered association rules, Proceedings of the third international conference on Information and knowledge management, p.401-407, November 29-December 02, 1994, Gaithersburg, Maryland, United States [doi>10.1145/191246.191314]
	8	Brian Lent , Arun N. Swami , Jennifer Widom, Clustering Association Rules, Proceedings of the Thirteenth International Conference on Data Engineering, p.220-231, April 07-11, 1997
	9	Jong Soo Park , Ming-Syan Chen , Philip S. Yu, Using a Hash-Based Method with Transaction Trimming for Mining Association Rules, IEEE Transactions on Knowledge and Data Engineering, v.9 n.5, p.813-825, September 1997 [doi>10.1109/69.634757]
	10	Mannila H., Toivonen H., and Verkamo A. i. E~- dent algorithms for discovering association rules. AAA! Workshop on Kno~zledge Discovery in Databases, 1994, pages 181-192.
	11	Ramakrishnan Srikant , Rakesh Agrawal, Mining Generalized Association Rules, Proceedings of the 21th International Conference on Very Large Data Bases, p.407-419, September 11-15, 1995
	12	Ramakrishnan Srikant , Rakesh Agrawal, Mining quantitative association rules in large relational tables, Proceedings of the 1996 ACM SIGMOD international conference on Management of data, p.1-12, June 04-06, 1996, Montreal, Quebec, Canada

CITED BY 25

	William DuMouchel , Daryl Pregibon, Empirical bayes screening for multi-item associations, Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, p.67-76, August 26-29, 2001, San Francisco, California
	Shinichi Morishita , Jun Sese, Transversing itemset lattices with statistical metric pruning, Proceedings of the nineteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, p.226-236, May 15-18, 2000, Dallas, Texas, United States
	Ramesh C. Agarwal , Charu C. Aggarwal , V. V. V. Prasad, Depth first generation of long patterns, Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, p.108-118, August 20-23, 2000, Boston, Massachusetts, United States
	Zhou Aoying , Wei Li , Yu Fang, Effective discovery of exception class association rules, Journal of Computer Science and Technology, v.17 n.3, p.304-313, May 2002
	Xindong Wu , Shichao Zhang, Synthesizing High-Frequency Rules from Different Data Sources, IEEE Transactions on Knowledge and Data Engineering, v.15 n.2, p.353-367, February 2003
	Pang-Ning Tan , Vipin Kumar , Jaideep Srivastava, Selecting the right interestingness measure for association patterns, Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining, July 23-26, 2002, Edmonton, Alberta, Canada
	Fernando Berzal , Juan-Carlos Cubero , Daniel Sánchez , José María Serrano, ART: A Hybrid Classification Model, Machine Learning, v.54 n.1, p.67-92, January 2004
	C. C. Aggarwal , P. S. Yu, Mining Associations with the Collective Strength Approach, IEEE Transactions on Knowledge and Data Engineering, v.13 n.6, p.863-873, November 2001
	C. C. Aggarwal , C. Procopiuc , P. S. Yu, Finding Localized Associations in Market Basket Data, IEEE Transactions on Knowledge and Data Engineering, v.14 n.1, p.51-62, January 2002
	Pang-Ning Tan , Vipin Kumar , Jaideep Srivastava, Selecting the right objective measure for association analysis, Information Systems, v.29 n.4, p.293-313, June 2004
	Shichao Zhang , Jingli Lu , Chengqi Zhang, A fuzzy logic based method to acquire user threshold of minimum-support for mining association rules, Information Sciences—Informatics and Computer Science: An International Journal, v.164 n.1-4, p.1-16, 2 August 2004
	Xindong Wu , Chengqi Zhang , Shichao Zhang, Efficient mining of both positive and negative association rules, ACM Transactions on Information Systems (TOIS), v.22 n.3, p.381-405, July 2004
	Ke Wang , Yu He , Jiawei Han, Pushing Support Constraints Into Association Rules Mining, IEEE Transactions on Knowledge and Data Engineering, v.15 n.3, p.642-658, March 2003
	Wen-Yang Lin , Ming-Cheng Tseng, Automated support specification for efficient mining of interesting association rules, Journal of Information Science, v.32 n.3, p.238-250, June 2006
	Miho Ohsaki , Hidenao Abe , Shusaku Tsumoto , Hideto Yokoi , Takahira Yamaguchi, Evaluation of rule interestingness measures in medical knowledge discovery in databases, Arificial Intelligence in Medicine, v.41 n.3, p.177-196, November, 2007
	Chien-Yu Chen , Shien-Ching Hwang , Yen-Jen Oyang, Analysis and summarization of correlations in data cubes and its application in microarray data analysis, Intelligent Data Analysis, v.9 n.1, p.43-57, January 2005
	Ferenc Bodon , Ioannis N. Kouris , Christos H. Makris , Athanasios K. Tsakalidis, Automatic discovery of locally frequent itemsets in the presence of highly frequent itemsets, Intelligent Data Analysis, v.9 n.1, p.83-104, January 2005
	Tobias Scheffer, Finding association rules that trade support optimally against confidence, Intelligent Data Analysis, v.9 n.4, p.381-395, July 2005
	Ke Wang , Yu He , Jiawei Han, Mining Frequent Itemsets Using Support Constraints, Proceedings of the 26th International Conference on Very Large Data Bases, p.43-52, September 10-14, 2000
	Jinyan Li , Guimei Liu , Limsoon Wong, Mining statistically important equivalence classes and delta-discriminative emerging patterns, Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining, August 12-15, 2007, San Jose, California, USA
	Michael Hahsler , Kurt Hornik, New probabilistic interest measures for association rules, Intelligent Data Analysis, v.11 n.5, p.437-455, October 2007
	Yoav Horman , Gal A. Kaminka, Removing biases in unsupervised learning of sequential patterns, Intelligent Data Analysis, v.11 n.5, p.457-480, October 2007
	Animesh Adhikari , P. R. Rao, Capturing association among items in a database, Data & Knowledge Engineering, v.67 n.3, p.430-443, December, 2008
	Adam Kirsch , Michael Mitzenmacher , Andrea Pietracaprina , Geppino Pucci , Eli Upfal , Fabio Vandin, An efficient rigorous approach for identifying statistically significant frequent itemsets, Proceedings of the twenty-eighth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, June 29-July 01, 2009, Providence, Rhode Island, USA
	Nikolaj Tatti, Maximum entropy based significance of itemsets, Knowledge and Information Systems, v.17 n.1, p.57-77, October 2008