Application of Data Mining Techniques for the Online Personalization

Authors

  • V. Venkaiah Sri Indu College of Engg and Technology, Telangana, India

DOI:

https://doi.org/10.53555/cse.v3i4.161

Keywords:

Web Personalization, Apriori,, Cookie, E-Commerce

Abstract

the web has extended substantially more than anticipated in recent years. Advance, the appearance of new secure advances, the web based shopping pattern has expanded. Individuals are exhausted of seeking items online page by page. So they favor sites which give a fast access to the items alongside prescribing new items in light of their inclinations. It gives an individual vibe that they are being esteemed and furthermore helps in holding of the clients. So we have to customize the web. We have utilized a basic idea of utilizing treats to store the pursuits and afterward applying Apriori calculation to prescribe items to the client. Using Data Mining procedures and accessibility of incomprehensible information online will help in effectively prescribing the items to the clients. In this way, clients can spare their time and can likewise get an incentive for their cash.

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Published

2017-04-30

How to Cite

Venkaiah, V. (2017). Application of Data Mining Techniques for the Online Personalization. International Journal For Research In Advanced Computer Science And Engineering, 3(4), 22–28. https://doi.org/10.53555/cse.v3i4.161

Issue

Vol. 3 No. 4 (2017): International Journal For Research In Advanced Computer Science And Engineering

Section

Articles

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