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Generalized Multidimensional Association Rules
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作者 周傲英 周水庚 +1 位作者 金文 田增平 《Journal of Computer Science & Technology》 SCIE EI CSCD 2000年第4期388-392,共5页
The problem of association rule mining has gained considerableprominence in the data mining community for its use as an important tool of knowledge discovery from large-scale databases. And there has been a spurt of r... The problem of association rule mining has gained considerableprominence in the data mining community for its use as an important tool of knowledge discovery from large-scale databases. And there has been a spurt of researchactivities around this problem. Traditional association rule mining is limited tointratransaction. Only recently the concept of N-dimensional inter-transaction association rule (NDITAR) was proposed by H.J. Lu. This paper modifies and extendsLu's definition of NDITAR based on the analysis of its limitations, and the generalized multidimensional association rule (GMDAR) is subsequently introduced, whichis more general, flexible and reasonable than NDITAR. 展开更多
关键词 multidimensional transaction database data mining Ndimensionalinter-transaction association rules (NDITAR) generalized multidimensional association rules (GMDAR)
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