UGC Approved Journal no 63975(19)

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Published in:

Volume 5 Issue 11
November-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1811934


Registration ID:
192073

Page Number

233-238

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Title

PERFORMANANCE ENHANCEMENT OF CUSTOMER CHURN PREDICTION IN TELECOM SECTOR USING DECISION TREE TECHNIQUES

Abstract

Customer churn analysis and prediction in telecom sector is an issue now a days because it's very important for telecommunication industries to analyze behaviors of various customer to predict which customers are about to leave the subscription from telecom company. So data mining techniques and algorithm plays an important role for companies in today’s commercial conditions because gaining a new customer’s cost is more than retaining the existing ones. In this paper we can focuses on decision tree techniques such as CART and Random Forest for predicting customer churn through which we can build the classification models and also compare the performance of these models with logistic regression model.

Key Words

Churn prediction, data mining, telecom data,Customer retention, classification, decision tree, CART, Random Forest

Cite This Article

"PERFORMANANCE ENHANCEMENT OF CUSTOMER CHURN PREDICTION IN TELECOM SECTOR USING DECISION TREE TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.233-238, November-2018, Available :http://www.jetir.org/papers/JETIR1811934.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

"PERFORMANANCE ENHANCEMENT OF CUSTOMER CHURN PREDICTION IN TELECOM SECTOR USING DECISION TREE TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp233-238, November-2018, Available at : http://www.jetir.org/papers/JETIR1811934.pdf

Publication Details

Published Paper ID: JETIR1811934
Registration ID: 192073
Published In: Volume 5 | Issue 11 | Year November-2018
DOI (Digital Object Identifier):
Page No: 233-238
Country: BHOPAL, MADHYA PRADESH, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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