PUSHING FUZZY CONSTRAINTS IN FREQUENT ITEMSET MINING

摘要：

Human is the focus of knowledge discovery. The user can express his focus via constraints in mining. However, constraints specified by the user are often fuzzy. The paper proposes the notion of fuzzy constraints and develops techniques to introduce these fuzzy constraints into the Apriori algorithm for mining frequent itemsets. The experiment results show the effectiveness of the improved techniques.

关键词： Frequent itemset mining constraint fuzzy set pruning algorithm

作者: ZHI-BO REN QIANG ZHANG

作者单位: Department of management and economics, Beijing Institute of Technology, Beijing, 100081, China;Depa Department of management and economics, Beijing Institute of Technology, Beijing, 100081, China

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 1373-1377

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）