The International Journal of Innovative Research in Computer and Communication Engineering
Market analysis is an important component of analytical system in retail companies to determine the sales for different segments of customers to improve customer satisfaction and to increase profit of the company which has different channels and regions. These issues for a leading shopping mall are addressed using frequent item set mining and decision tree technique. The frequent item sets are mined from the market basket database using the efficient Apriori algorithm and hence the association rules are generated. The decision tree can be constructed using ID3 and C4.5 algorithm.