A Survey on Analysis of Online Consumer Behaviour Using Association Rules
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2018-05-31 https://doi.org/10.14419/ijet.v7i2.32.15568 -
Datamining, association, customer relationship management (CRM), Apriori, FP growth, Eclat -
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.
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References
[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