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The retail industry collects vast amounts of data on sales, customer buying history, goods, and service with ease of use of modern computing technology. This paper elaborates the use of data mining technique to help retailers to identify customer profile for a retail store and behaviors, improve better customer satisfaction and retention. The aim is to judge the accuracy of different data mining algorithms on various data sets. The performance analysis depends on many factors encompassing test mode, different nature of data sets, and size of data set.
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