Review Paper introducing E-commerce, Data Mining and Pattern Recognition to recommend the product

E-commerce has become very prevalent for customers to buy goods and for vendors to sell and advertise the product. The study examined the criteria to increase the sales and recommend the appropriate product to the customer. The aim of this study is to introduce the e-commerce platform and the role of data mining technique and frequent pattern mining in e-commerce. A few feedback techniques including implicit, explicit and hybrid are reviewed from few review papers and their outputs are discussed. Data collection from different sources and then implementing data mining on that avail data is discussed. The recommendation system is highly depended up on the data collection which involves information collection phase, learning phase and prediction phase. This paper also discuss frequent pattern mining as a separate technique of data mining, frequent pattern mining with traditional framework, data stream, big data, uncertain data , graph and structured data are discussed.