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反期望模式的发现及其应用

Against-Expectation Pattern and Its Application in Marketing
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摘要 结合库存管理提出反期望模式的设计思想:①通过库存分析得到反期望项集;②通过最近邻居图[3]和相关分析两种方法挖掘反期望模式。同时引入模糊集提高挖掘出的模式识的精确性、有效性和实用性,实验证明这种方法是有意义的。 Designing about against-expectation pattern is put forward： ①Generating against-expectation itemsets through stock analysis; ②Mining against-expectation patterns by two ways including k-nearest neighbor graph and correlation analysis. In the meantime, fuzzy set is introduced to improve mined patterns＇ accuracy and the algorithm＇ s efficiency. Experiments are condueted to demonstrate that this algorithm is promising.
作者 尤晓芳 覃泽 陈峰 张师超
机构地区 广西师范大学计算机系 南宁地区教育学院 悉尼科技大学信息技术学院
出处 《计算机应用研究》 CSCD 北大核心 2006年第12期171-174,177,共5页 Application Research of Computers
基金 澳大利亚ARC资助项目(DP0559536 DP0667060) 国家自然科学基金资助项目(60496321 60463003)
关键词 反期望模式 关联规则 最近邻居图 相对交易量 相关分析 模糊集 Against-Expectation Pattern Association Rule The Nearest Neighbor Graph Relative Bargaining Quantity Correlation Analysis Fuzzy Set
分类号 TP311 [自动化与计算机技术—计算机软件与理论]
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参考文献13

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二级参考文献5

  • 1[1]Agrawal R.Srikant R.Fast Algorithm for Mining Association Rules.lnProcccdings of the 20th VLDB Confercnec . Santigo . Chile, 1994
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共引文献21

计算机应用研究
2006年 第12期

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