Now a day, online shopping is being one of the most common things in the daily lives. To satisfy the customers’ requirements knowing the consumer behaviour and interests are more important in the e-commerce environment. Generally, the user behaviour information's are stored on the website server. Data mining approaches are widely preferred for the analysis of user's behaviour. But, the static characterization and sequence of actions are not considered in conventional techniques. In the retail management system, this type of considerations is essential. Based on these considerations, this paper gives detail review about a Semantic web mining based Artificial Neural Network (ANN) for the retail management system. For this review, many sentimental analysis and prediction techniques are observed and compared based on their performance. This survey also focused the dynamic data on the user behaviour. Furthermore, the future direction in big data analytics field is also discussed.
Design of Distributed Pharmaceutical Retail Management System Based on Advanced Encryption Standard Algorithm
