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RANKING ASSOCIATION RULES BY TOPSIS METHOD WITH COMBINATION WEIGHTS

机译:结合权重的TOPSIS方法对关联规则进行排序

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@@Various rules can be generated from databases by using association rule algorithms,but only a small number of these rules may be selected for implementation due to the limitations of resources Thus, evaluating the quality of these rules becomes a hot topic in data mining field.Based on multiple criteria decision making theory,a framework for ranking the mined association rules using TOPSIS method with combination weights,considering both objective interestingness measures and the users'domain information,is proposed. An example of market basket analysis is applied to illustrate the applicability of this method.
机译:可以使用关联规则算法从数据库中生成各种规则,但是由于资源的限制,只能选择其中的少数几个规则来实施,因此,评估这些规则的质量成为数据挖掘领域的热门话题。基于多准则决策理论,提出了一种基于TOPSIS方法结合组合权重对挖掘的关联规则进行排序的框架,该框架同时考虑了客观的兴趣度和用户的领域信息。以购物篮分析为例说明该方法的适用性。

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