Abstract:
Many business enterprises accumulate large quantities of data from their day to day operations. Therefore, in this system, huge amounts of customer purchase beauty accessories data are collected daily by supplier representatives in transaction database. Supplier representatives are interesting in analyzing fivecategories beauty accessories to investigate about increase amount of purchasing of their customers. Such valuable information can be used to support a variety of business-related applications such as sales and marketing promotions. In this paper, we present an investigation framework by executing a methodology of association rule mining and correlation analysis. This system is mainly composed of three parts which are data collection, choice of frequent itemsets by generating association rules with Apriori algorithm and computation with correlation analysis to relate data items from each rule. According to interestingness measures, such as generating association rules and correlation, this system can give investigation of beauty accessories sales and marketing for supplier representatives.
