期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2013
卷号：4
期号：9-3
页码：3194-3199 September Issue 2013 .ISSN 2231
出版社：Seventh Sense Research Group
摘要：Quantitative data must be converted into qualitative data, for this association algorithm only can apply to it. As association rule deals with frequent item sets as done by many association algorithms such as Apriori algorithm, that’s why in most real life applications Apriori algorithm is used. In this paper author contains the use of association rule mining in extracting patterns that occur frequently within a dataset and showcases the implementation of the Apriori algorithm in mining association rules from a dataset which is manual collection of demeaning crimes against women which is collected from Session court. In this paper author considers the two Association Rule algorithms i.e. Apriori Algorithm and PredictiveApriori Algorithm and compares the result of both the algorithms using WEKA, a data mining tool.As result of rules of both algorithms clearly shows that Apriori algorithm performs better and faster than PredictiveApriori algorithm.
关键词：Data Mining; Association Rule; Apriori Algorithm; Command line interface
