Mining optimized gain rules for numeric attributes

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Mining optimized gain rules for numeric attributes

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International Conference on Knowledge Discovery and Data Mining archive
Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining table of contents

San Diego, California, United States

Pages: 135 - 144

Year of Publication: 1999

ISBN:1-58113-143-7

Authors

Sergey Brin	Stanford University, Palo Alto
Rajeev Rastogi	Bell Labs, Murray Hill
Kyuseok Shim	Bell Labs, Murray Hill

Sponsors

SIGKDD: ACM Special Interest Group on Knowledge Discovery in Data
AAAI : Am Assoc for Artifical Intelligence
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGMOD: ACM Special Interest Group on Management of Data

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 4, Downloads (12 Months): 35, Citation Count: 4

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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.

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	AS94	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
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	FMMT96b	Takeshi Fukuda , Yasuhido Morimoto , Shinichi Morishita , Takeshi Tokuyama, Mining optimized association rules for numeric attributes, Proceedings of the fifteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems, p.182-191, June 04-06, 1996, Montreal, Quebec, Canada [doi>10.1145/237661.237708]
	HF95	Jiawei Han , Yongjian Fu, Discovery of Multiple-Level Association Rules from Large Databases, Proceedings of the 21th International Conference on Very Large Data Bases, p.420-431, September 11-15, 1995
	KMP98	Sanjeev Khanna , S. Muthukrishnan , Mike Paterson, On approximating rectangle tiling and packing, Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms, p.384-393, January 25-27, 1998, San Francisco, California, United States
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	RS98a	Rajeev Rastogi , Kyuseok Shim, Mining Optimized Association Rules with Categorical and Numeric Attributes, Proceedings of the Fourteenth International Conference on Data Engineering, p.503-512, February 23-27, 1998
	RS98b	R. Rastogi and K. Shim. Mining optimized gain rules numeric attributes. Technical report, Bell Laboratories, Murray Hill, 1998.
	RS99	R. Rastogi and K. Shim. Mining optimized support rules for numeric attributes. In Int'l Conference on Data Engineering, Sydney, Austrailia, 1999.
	SA95	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
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	SON95	Ashoka Savasere , Edward Omiecinski , Shamkant B. Navathe, An Efficient Algorithm for Mining Association Rules in Large Databases, Proceedings of the 21th International Conference on Very Large Data Bases, p.432-444, September 11-15, 1995

CITED BY 4

	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
	Rajeev Rastogi , Kyuseok Shim, Scalable algorithms for mining large databases, Tutorial notes of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining, p.73-140, August 15-18, 1999, San Diego, California, United States
	Yiping Ke , James Cheng , Wilfred Ng, Mining quantitative correlated patterns using an information-theoretic approach, Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining, August 20-23, 2006, Philadelphia, PA, USA
	Yiping Ke , James Cheng , Wilfred Ng, Correlated pattern mining in quantitative databases, ACM Transactions on Database Systems (TODS), v.33 n.3, p.1-45, August 2008