Semantic Web Mining in Retail Management System using ANN
Y. Praveen1, Suguna2
1Y. Praveen, Research Scholar, Department of Computer Science Engineering, School of Computing, Vel Tech Rangaajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai (Tamil Nadu), India.
2Dr. Suguna, Department of Computer Science & Engineering, Vidya Jyothi Institute of Technology, Hyderabad (Telangana), India.
Manuscript received on 19 October 2019 | Revised Manuscript received on 25 October 2019 | Manuscript Published on 02 November 2019 | PP: 3547-3554 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B14390982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1439.0982S1119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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 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.
Keywords: ANN, Sentimental Analysis, Big Data, Data Mining, user Behaviour.
Scope of the Article: Web and Text Mining