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Review of Semantic Web Mining in Retail Management System Using Artificial Neural Network

  • Y. Praveen KumarEmail author
  • Suguna
Conference paper
Part of the Learning and Analytics in Intelligent Systems book series (LAIS, volume 3)

Abstract

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 analyzed 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.

Keywords

ANN Sentimental analysis Big data Data mining User behaviour 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Computer Science Engineering, School of ComputingVel Tech Rangaajan Dr. Sagunthala R&D Institute of Science and TechnologyChennaiIndia
  2. 2.Department of CSEVJITHyderabadIndia

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