文章基本信息

标题：Frequent Data Itemset Mining Using VS_Apriori Algorithms
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作者：N. Badal ; Shruti Tripathi
期刊名称：International Journal on Computer Science and Engineering
印刷版ISSN：2229-5631
电子版ISSN：0975-3397
出版年度：2010
卷号：2
期号：4
页码：1111-1118
出版社：Engg Journals Publications
摘要：The organization, management and accessing of information in better manner in various data warehouse applications have been active areas of research for many researchers for more than last two decades. The work presented in this paper is motivated from their work and inspired to reduce complexity involved in data mining from data warehouse. A new algorithm named VS_Apriori is introduced as the extension of existing Apriori Algorithm that intelligently mines the frequent data itemset in large scale database. Experimental results are presented to illustrate the role of Apriori Algorithm, to demonstrate efficient way and to implement the Algorithm for generating frequent data itemset. Experiments are also performed to show high speedups.
关键词：Frequent data itemsets; Apriori.