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Incremental Updating Algorithms for Mining Association Rules
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Abstract:
Mining association rules is an important data mining problem. There have been many algorithms proposed for efficient discovery of association rules in large databases. However, very little work has been done on maintenance of discovered association rules. When users interactively mine association rules, they may have to continually tune two thresholds, minimum support and minimum confidence, which describe the users' special interestingness. In this paper, two incremental updating algorithms——IUA and PIUA are presented for such efficient maintenance problem of association rules.
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冯玉才,冯剑琳.关联规则的增量式更新算法.软件学报,1998,9(4):301-306
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- Received:April 22,1997
- Revised:July 18,1997
- Adopted:
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Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-4
Address：4# South Fourth Street, Zhong Guan Cun, Beijing 100190,Postal Code：100190
Phone：010-62562563 Fax：010-62562533 Email：jos@iscas.ac.cn
Technical Support：Beijing Qinyun Technology Development Co., Ltd.
