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Research on Algorithm for Mining negative association rules Based on Frequent Pattern Tree

Wuhan University Journal of Natural Sciences 2006年第1期11卷 37-41页

作者： ZHU Yu-quan YANG He-biao SONG Yu-qing XIE Cong-hua School of Computer Science and Communication Engineering Jiangsu University Zhenjiang 212013 JiangsuChina

Typical association rules consider only items enumerated in transactions. Such rules are referred to as positive association rules. negative association rules also consider the same items, but in addition consider negated items （i. e. absent from transactions）. negative association rules are useful in market-basket analysis to identify products that conflict with each other or products that complement each other. They are also very convenient for associative classifiers, classifiers that build their classification model based on association rules. Indeed, mining for such rules necessitates the examination of an exponentially large search space. Despite their usefulness, very few algorithms to mine them have been proposed to date. In this paper, an algorithm based on FP tree is presented to discover negative association rules.

关键词： data mining FP-tree negative association rules

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The Present Situation and Development Tendency of Classification Based on negative association rules

The Present Situation and Development Tendency of Classifica...

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2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会

作者： Long Zhao~1 Xiangjun Dong~(1,2)Runian Geng~1 He Jiang~1 1 School of Information Science and Technology,Shandong Institute of Light Industry, Jinan 250353,P.R.China 2 School of Management and Economics,Beijing Institute of Technology, Beijing 100081,P.R.China

One application of association rule mining(ARM)is to identify classification association rules(CARs)that can be used to classify future instances from the same population as the data being *** classification is a well-known technique which uses association rules to predict the class label for new data *** model has been recently reported to achieve higher accuracy than traditional classification approaches like *** limits in view of positive association rules used in classification. This paper introduces main methods and the present situation of classification based on association rules, expatiates the present situation and main technologies of negative association rules,introduces the problem of exploding frequent itemsets and points out the development tendency of classification based on negative association rules.

关键词： negative association rules Classification Method Frequent negative Itemsets

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