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多数据库中的负关联规则挖掘技术及发展趋势 被引量：7

Mining Technology and Development Tendency of Negative Association Rule in Multi-database
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摘要 负关联规则反映了数据项之间的互斥关系,能提供很多有用的信息,在决策支持中起重要作用,但现行的挖掘算法主要是针对单一数据库的挖掘,多数据库中负关联规则的挖掘还未引起重视。该文介绍负关联规则的研究现状、主要挖掘方法以及冗余正负关联规则的修剪方法,对多数据库中关联规则挖掘研究现状和主要技术进行论述,并展望多数据库中负关联规则挖掘的发展趋势。 Negative association rules can catch mutually exclusive correlations among items and play an important role in decision-making. The current mining algorithm is mainly directed against mono-database, and mining negative association rules in multi-database do not arouse people＇s attention. This paper elaborates on the negative association rules of the status quo, mainly mining methods and redundant positive and negative association rules pruning methods, and then expatiates the present situation and main technology of association rules in multi-database, and developments tendency of negative association rules in multi-database is forecasted.
作者 尚世菊 董祥军 赵龙
机构地区 山东轻工业学院信息科学与技术学院
出处 《计算机工程》 CAS CSCD 北大核心 2009年第5期61-63,93,共4页 Computer Engineering
基金 山东省自然科学基金资助项目(Y2007G25) 山东省优秀中青年科学家奖励基金资助项目(2006BS01017)
关键词 负关联规则 数据挖掘 多数据库 negative association rule： data mining： multi-database
分类号 TP311 [自动化与计算机技术—计算机软件与理论]
  • 相关文献

参考文献16

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共引文献56

同被引文献70

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二级引证文献8

计算机工程
2009年 第5期

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