Secure Web Mining System for Online E-Commerce Business Sites

Authors(3) :-N. Deshai, Dr. I. Hemalatha, Dr. G. P. Saradhi Varma

Electronic business procedures and information mining instruments have reformed many organizations. Information that organizations gather about clients and their exchanges are the best resources of that business. Information mining is an arrangement of mechanized methods used to remove covered or already obscure snippets of data from substantial databases, utilizing diverse criteria, which makes it conceivable to find examples and connections. This paper talks about the critical part of business in light of information mining learning improvement to recognition the connection of information mining and electronic trade. What's more, express a few applications and difficulties for this situation.

Authors and Affiliations

N. Deshai
Assistant Professor, Department Information Technology, S.R.K.R Engineering College, Bhimavaram, Andhra Pradesh, India
Dr. I. Hemalatha
Professor, Department of Information Technology, S.R.K.R Engineering College, Bhimavaram, Andhra Pradesh, India
Dr. G. P. Saradhi Varma
Professor, Department of Information Technology, S.R.K.R Engineering College, Bhimavaram, Andhra Pradesh, India

Data Mining, E-Commerce, Web Mining, Business Intelligence, Web Personalization.

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Publication Details

Published in : Volume 3 | Issue 8 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 317-323
Manuscript Number : IJSRSET173888
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

N. Deshai, Dr. I. Hemalatha, Dr. G. P. Saradhi Varma, " Secure Web Mining System for Online E-Commerce Business Sites, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 8, pp.317-323, November-December-2017. Citation Detection and Elimination     |     
Journal URL : https://ijsrset.com/IJSRSET173888

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