文章基本信息

标题：Execution of APRIORI Algorithm of Data Mining Directed Towards Tumultuous Crimes Concerning Women
本地全文：下载
作者：Divya Bansal ; Lekha Bhambhu
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：9
出版社：S.S. Mishra
摘要：Apriori Algorithm is the most popular and useful algorithm of Association Rule Mining of Data Mining. As Association rule of data mining is used in all real life applications of business and industry. Objective of taking Apriori i s to find frequent itemsets and to uncover the hidden information. This paper elaborates upon 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 containing crimes data concerning women. As for this WEKA tool is used for extracting results .For this one dataset is taken from UCI repository And other data is collected manually from the session court of sirsa to collect data on heart melting crimes against women. The main motive to use UCI is to first check the proper working of dataset and then apply Apriori on real dataset against crimes on women which extracts hidden information that what age group is responsible for this and to find where the real culprit is hiding. In last the comparison is done between Apriori & PredictiveApriori Algorithm in which Apriori is better and faster than PredictiveApriori Algorithm
关键词：Data Mining; Association Rule; Apriori Algorithm; Command line interface