Association Rule Based Data Mining System for Sale System

Abstract

Computer software are widely used in economic functions. It has sale system, accessory system and rate system. There are so many kinds of analysis tools to find out number of sale, list of credit and loss and profit. Nowadays, many industries are becoming interested in mining association rule from their database with a large amount of data being collected and stored. Data Mining is the process of discovering interesting patterns from large amount of data in database. In this paper, the best sale itemsets are searched based on data mining system. The frequent itemsets are searched by using Apriori Algorithm and then produce the Association Rule. Frequent itemsets are the best sale itemsets and to find them, user must input the minimum support count. Then, the manager or retailers can use these results for planning marketing or advertising strategies, catalog design, as well as different store layouts.