UGC Approved Journal no 63975(19)

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

Volume 8 Issue 4
April-2021
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2104396


Registration ID:
310878

Page Number

1410-1421

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Title

Customer Churn Management Using Predictive Modeling – A Machine Learning Approach

Authors

Abstract

Customers are an essential part of any business; all businesses require to retain their customers especially if they offer subscription services. By the use of churn modeling, we can optimize this process and ensure that businesses of all sizes can be more comfortable as far as customer retention is concerned. This paper majorly analyzes how churn modeling is done, the formula used to calculate a churn rate, and the types of churn used in the ecosystem.

Key Words

Machine Learning, Computer Engineering, Customer and Churn.

Cite This Article

"Customer Churn Management Using Predictive Modeling – A Machine Learning Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.1410-1421, April-2021, Available :http://www.jetir.org/papers/JETIR2104396.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 Churn Management Using Predictive Modeling – A Machine Learning Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp1410-1421, April-2021, Available at : http://www.jetir.org/papers/JETIR2104396.pdf

Publication Details

Published Paper ID: JETIR2104396
Registration ID: 310878
Published In: Volume 8 | Issue 4 | Year April-2021
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.27302
Page No: 1410-1421
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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