Survey on Market Basket Analysis using Data Mining and Deep Learning Techniques

Market Basket Analysis (MBA) helps to scrutinize the purchase/sale frequency and pattern, trend of the business, market potential and also ascertain the association between products in the customer's purchase. Different kind of rule mining algorithms is used to determine the purchasefrequency, purchasepatternfortheproductsandforec astingthesaleofproductsinthebusiness..MBA is a one kind of data mining technique and allows to generate the rules to extract the hidden knowledge from the large data sets like peoples purchase frequency data set. Most of the works areutilized Apriori and FP-Growth algorithms. In recent times, some researchers' utilised neural networkbased deep learning algorithms to perform MBA. Data Mining based MBA helps to identify the purchasing behaviour and pattern of the customer and assist to increase the sale and provide the bettercustomerservice.MBAalsousedinstrategicmanagemen t,entrepreneurialmanagementandorganizationbehaviour. Thi ssurveypaperdealswithvariousruleminingalgorithmsanddee plearning algorithms used in MBA by the researchers and summarize the existing works performed in MBA.