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A Survey on Analysis of User Behavior on Digital Market by Mining Clickstream Data

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Book cover Proceedings of the Third International Conference on Computational Intelligence and Informatics

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1090))

Abstract

Data stream mining has emerged as one of the most prominent areas with its applications in various areas like network sensors, stock exchange, meteorological research and e-commerce. Stream mining is potentially an active area in which the data is continuously generated in large amounts which are dynamic, non-stationary, unstoppable, and infinite in nature. One of such streaming data generated with the user browsing tendency is Clickstream data. Analyzing the user online behavior on e-commerce Web sites is helpful in drawing certain conclusions and making specific recommendations for both the users and the electronic commerce companies to improve their marking strategies and increase the transaction rates effectively leading to enhance the revenue. This paper aims at presenting a survey of different methodologies and parameters used in analyzing the behavior of a user through Clickstream data. Little deeper, this article also outlines the methods used so far for clustering the users based on mining their interests.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamilnadu, India

    Praveen Kumar Padigela & R. Suguna

Authors
  1. Praveen Kumar Padigela
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  2. R. Suguna
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Corresponding author

Correspondence to R. Suguna .

Editor information

Editors and Affiliations

  1. CMR Technical Campus, Hyderabad, Telangana, India

    K. Srujan Raju

  2. Department of Computer Science and Engineering, Jawaharlal Nehru Technological University Hyderabad, Hyderabad, Telangana, India

    A. Govardhan

  3. Department of Computer Science and Engineering, JNTUH College of Engineering Hyderabad (Autonomous), Hyderabad, Telangana, India

    B. Padmaja Rani

  4. Department of Computer Science and Engineering, JNTUH College of Engineering Hyderabad (Autonomous), Hyderabad, Telangana, India

    R. Sridevi

  5. Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology & Sciences, Visakhapatnam, Andhra Pradesh, India

    M. Ramakrishna Murty

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Padigela, P.K., Suguna, R. (2020). A Survey on Analysis of User Behavior on Digital Market by Mining Clickstream Data. In: Raju, K., Govardhan, A., Rani, B., Sridevi, R., Murty, M. (eds) Proceedings of the Third International Conference on Computational Intelligence and Informatics . Advances in Intelligent Systems and Computing, vol 1090. Springer, Singapore. https://doi.org/10.1007/978-981-15-1480-7_45

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