Execution of APRIORI Algorithm of Data Mining Directed Towards Tumultuous Crimes Concerning Women

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 is 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. Keywords-Data Mining, Association Rule, Apriori Algorithm, Command line interface.