文章基本信息

标题：Incremental Association Data Mining Using Quick sort and Searching Approach
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作者：Disha Vaghasiya ; Vipul Vekariya
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2016
卷号：4
期号：4
页码：7785
DOI：10.15680/IJIRCCE.2016.0404286
出版社：S&S Publications
摘要：Association rule is very effective and useful in the area of data mining. In dynamic and functional databases new transactions are adjoined as time adva nces.so, this may introduce new association rules and some existing and current rules would become inadmissible. So, to maintain association rules for dynamic database is the vital issue. So, in this paper I have new arrival of incremental algorithm for fr equent item set is proposed to deal with this problem. This approach is based on quick sort algorithm and proposed algorithm uses maximum support court of 1 - itemset which is obtained from previous mining to calculate in frequent item set called promising i tem set. When new transactions are being added to original database, the algorithm take less no. of time scan the original database so this paper algorithm has a simulation result that shows good performance. Enhance, this paper also includes new approach searching algorithm with incremental association
关键词：Frequent Itemset; Incremental Mining; Quick sort