Indonesian Retail Market Analysis Using Frequent Pattern Data Mining

摘要: IT plays an enormous role in creating conditions for faster socioeconomic development of a nation. Computerized data analysis methods can provide vital information many businesses to make informed decisions time and stay competitive. Frequent pattern (FP) mining is approach discovering useful market automatically from seemingly abundant that are difficult analyze using conventional statistical approaches. FP approaches have been widely accepted developed countries consumer behavior analysis, but seldom evaluated or applied developing countries, such as Indonesia, due limited access the regions. However, would be tremendously investors financial institutions who planning invest those countries. For this reason, we collected large itemset transaction Indonesia over 2 years devised explore quality extract foreign local investors. first time, paper reports results, new emerging novel datasets. In particular, show average number items bought together frequently retail shop three. This kind formulating various marketing strategies, obtain