UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1907Q63


Registration ID:
223927

Page Number

99-102

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Title

Customer Behavior on Shopping using Data Mining Techniques: A Literature Survey

Abstract

Data Mining (DM) is a collection of techniques based on advanced analytical methods and tools for handling a large amount of information. Data mining has many tools to predict behaviors and future trends and allowing businesses to make proactive pathways back to the customer. Using the techniques like Association rules Mining, Classification and Cluster analysis to find the attitude of customer while purchasing the products.

Key Words

Data Mining, Association rule, Classifications, Cluster analysis.

Cite This Article

"Customer Behavior on Shopping using Data Mining Techniques: A Literature Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.99-102, June 2019, Available :http://www.jetir.org/papers/JETIR1907Q63.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Customer Behavior on Shopping using Data Mining Techniques: A Literature Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp99-102, June 2019, Available at : http://www.jetir.org/papers/JETIR1907Q63.pdf

Publication Details

Published Paper ID: JETIR1907Q63
Registration ID: 223927
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 99-102
Country: CHENNAI, TAMIL NADU, India .
Area: Science
ISSN Number: 2349-5162
Publisher: IJ Publication


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