A Survey on Analysis of Online Consumer Behaviour Using Association Rules

  • Authors

    • Dr M.R. Narasingha Rao
    • K V.L Sita Ratnam
    • M D.S. Prasanth
    • P Lakshmi Bhavani
    2018-05-31
    https://doi.org/10.14419/ijet.v7i2.32.15568
  • Datamining, association, customer relationship management (CRM), Apriori, FP growth, Eclat

  • Abstract

    In vogue the competitive world is searching for customer oriented approach. In order to accomplish that customer relation management (CRM) provides the services which meet the customer requirement. The requirements of a customer are collected in the form of data which is to be analyzed for obtaining customer behavior. Therefore inquiry is made to determine the characteristic features of a customer by using the data which is collected from different sources of all the online shopping sites. Data mining is a process of extracting useful information from the historical data. In this analysis the data of a online shopping website which is take from mechanical sector is tested by using some data mining algorithms like Apriori, FP-growth and Eclat algorithm of association rule mining. As a result of the study it is aimed to obtain frequent items purchased by the consumer by using the association results.

     

  • References

    1. [1] Jeetesh Kumar Jain, Nirupama Tiwari, Manoj Ramaiya ,International Journal of Engineering Research and Applications,â€A Survey : On Assoiation Rule Miningâ€, Vol. 3, Issue 1, January -February 2013, pp.2065-2069.

      [2] Rana Alaa El-Deen Ahmed, M.Elemam.Shehab, Shereen Morsy, Nermeen Mekawie,†Performance study of classification algorithms for consumer online shopping attitudes and behaviour using data miningâ€, Fifth International Conference on Communication Systems and Network Technologies,2015.

      [3] Moushumi Sharma, Ajit Das, Nibedita Roy, “A Complete Survey on Association Rule Mining and Its Improvementâ€, International Journal of Innovative Research in Computer and Communication Engineering , Vol. 4, Issue 5, May 2016.

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  • How to Cite

    M.R. Narasingha Rao, D., V.L Sita Ratnam, K., D.S. Prasanth, M., & Lakshmi Bhavani, P. (2018). A Survey on Analysis of Online Consumer Behaviour Using Association Rules. International Journal of Engineering & Technology, 7(2.32), 206-208. https://doi.org/10.14419/ijet.v7i2.32.15568

    Received date: 2018-07-13

    Accepted date: 2018-07-13

    Published date: 2018-05-31