A New Fuzzy Association Rules Mining in Data Streams
In this paper, a novel fuzzy ARM algorithm called FFIStream is presented to tackle quantitative attributes in data streams and some techniques are proposed in the algorithm. Both synthetic and real datasets are used to evaluate the performance of the proposed algorithm. The experimental results show both the effectiveness and efficiency of the proposed algorithm. In comparison with the discrete method, the proposed algorithm using fuzzy sets and MFBmeasure gets a trade-off between the number of interesting rules and efficiency.
fuzzy association rules data stream change detection
Liangzhong Shen Shihua Liu
Information Management Department,City College of Wenzhou University Wenzhou, China Department of Computer Science,City College of Wenzhou University Wenzhou, China
国际会议
北京
英文
454-458
2010-09-18（万方平台首次上网日期，不代表论文的发表时间）