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Telecom customer churn prediction

Descriptive

TypeOfResource
Text
TitleInfo
Title
Telecom customer churn prediction
Name (type = personal)
NamePart (type = family)
Sundararajan
NamePart (type = given)
Abhijit
Role
RoleTerm (authority = marcrt); (type = text)
author
Affiliation
Management Science & Information Systems, Rutgers University
Name (type = personal)
NamePart (type = family)
Gursoy
NamePart (type = given)
Kemal
Affiliation
Management Science & Information Systems, Rutgers University
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (authority = RutgersOrg-Department); (type = corporate)
NamePart
Management Science & Information Systems
Name (authority = RutgersOrg-School); (type = corporate)
NamePart
Rutgers Business School-Newark and New Brunswick (RBS)
Genre (authority = RULIB-FS)
Article, Non-refereed
Genre (authority = NISO JAV)
Author's Original (AO)
OriginInfo
DateCreated (encoding = w3cdtf); (keyDate = yes); (qualifier = exact)
2020
Abstract (type = Abstract)
Customer churn is often referred to as customer attrition, or customer defection which is the rate at which the customers are lost. Telecom companies often use customer churn as a key business metrics to predict the number of customers that will leave a telecom service provider. Churn is significant in the telecommunication industry because it directly affects the competitiveness of the service provider. In this work, Logistic Regression and Random Forest performed better than Decision Tree for customer churn analysis
Language
LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
PhysicalDescription
InternetMediaType
application/pdf
Extent
1 online resource (4 pages) : illustrations
Subject (authority = local)
Topic
Churn
Subject (authority = local)
Topic
Machine learning
Subject (authority = local)
Topic
Prediction
Subject (authority = local)
Topic
Telecom
RelatedItem (type = host)
TitleInfo
Title
Gursoy, Kemal
Identifier (type = local)
rucore30271500001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/t3-76xm-de75
Genre (authority = ExL-Esploro)
Journal Article
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Rights

RightsDeclaration (AUTHORITY = FS); (TYPE = [FS] statement #1); (ID = rulibRdec0004)
Copyright for scholarly resources published in RUcore is retained by the copyright holder. By virtue of its appearance in this open access medium, you are free to use this resource, with proper attribution, in educational and other non-commercial settings. Other uses, such as reproduction or republication, may require the permission of the copyright holder.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
RightsEvent
Type
Permission or license
AssociatedObject
Type
License
Name
Multiple author license v. 1
Detail
I hereby grant to Rutgers, The State University of New Jersey (Rutgers) the non-exclusive right to retain, reproduce, and distribute the deposited work (Work) in whole or in part, in and from its electronic format, without fee. This agreement does not represent a transfer of copyright to Rutgers.Rutgers may make and keep more than one copy of the Work for purposes of security, backup, preservation, and access and may migrate the Work to any medium or format for the purpose of preservation and access in the future. Rutgers will not make any alteration, other than as allowed by this agreement, to the Work.I represent and warrant to Rutgers that the Work is my original work. I also represent that the Work does not, to the best of my knowledge, infringe or violate any rights of others.I further represent and warrant that I have obtained all necessary rights to permit Rutgers to reproduce and distribute the Work and that any third-party owned content is clearly identified and acknowledged within the Work.By granting this license, I acknowledge that I have read and agreed to the terms of this agreement and all related RUcore and Rutgers policies.
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Technical

RULTechMD (ID = TECHNICAL1)
ContentModel
Document
CreatingApplication
Version
1.3
ApplicationName
macOS Version 10.14.6 (Build 18G1012) Quartz PDFContext
DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2020-01-01T22:36:47
DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2020-01-01T22:36:47
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