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Published
May 2, 2014
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Abstract

With the rapid development of Internet technology in recent years, Electronic Commerce has been an inevitable product of the economy, the science and the technology. This paper takes an online bookstore platform as a background, introduces the definition, functions, process and common analytical techniques of data mining. In the end, the experiment on association rules mining from the order data of online bookstore is completed by Improved Apriori algorithm.

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Author Biographies

Anil Vasoya, Thakur College of Engineering and Technology

Department of IT Engineering

Ankita Jain, Thakur College of Engineering and Technology

Department of IT Engineering

Sarika Patel, Thakur College of Engineering and Technology

Department of IT Engineering

Vrunda Desai, Thakur College of Engineering and Technology

Department of IT Engineering 
How to Cite
Vasoya, A., Jain, A., Patel, S., & Desai, V. (2014). The Application of Data Mining In Online Bookstore. International Journal of Emerging Trends in Science and Technology, 1(03). Retrieved from https://igmpublication.org/ijetst.in/index.php/ijetst/article/view/39

References

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[2] S. Rao, R. Gupta, “Implementing Improved algorithm Over APRIORI Data Mining Association Rule Algorithm”, International Journal of Computer Science And Technology, pp. 489-493, Mar. 2012

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[4] Guo Hongli,Li Juntao, “The application of mining association rules in online shopping”, 2011 Fourth International Symposium on Computational Intelligence and Design