Deep Churn Prediction Method for Telecommunication Industry

Lewlisa Saha; Hrudaya Kumar Tripathy; Tarek Gaber; Hatem El-Gohary; El Sayed M. El-kenawy

doi:10.3390/su15054543

Deep Churn Prediction Method for Telecommunication Industry

Lewlisa Saha
, Hrudaya Kumar Tripathy
, Tarek Gaber^*
, Hatem El-Gohary
, El Sayed M. El-kenawy

^*Corresponding author for this work

Kalinga Institute of Industrial Technology
Faculty of Computers and Informatics
University of Salford
Qatar University
Delta Higher Institute of Engineering and Technology

Research output: Contribution to journal › Article › peer-review

76 Citations (SciVal)

Original language	English
Article number	4543
Journal	Sustainability (Switzerland)
Volume	15
Issue number	5
DOIs	https://doi.org/10.3390/su15054543
Publication status	Published (VoR) - Mar 2023

Keywords

churn prediction
customer relationship management
data analytics
telecommunication industry

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10.3390/su15054543Licence: CC BY

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@article{6975a85cb23d4c8593fd6fa4a30d258e,

title = "Deep Churn Prediction Method for Telecommunication Industry",

keywords = "churn prediction, customer relationship management, data analytics, telecommunication industry",

author = "Lewlisa Saha and Tripathy, \{Hrudaya Kumar\} and Tarek Gaber and Hatem El-Gohary and El-kenawy, \{El Sayed M.\}",

note = "Publisher Copyright: {\textcopyright} 2023 by the authors.",

year = "2023",

month = mar,

doi = "10.3390/su15054543",

language = "English",

volume = "15",

journal = "Sustainability (Switzerland)",

issn = "2071-1050",

publisher = "MDPI",

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TY - JOUR

T1 - Deep Churn Prediction Method for Telecommunication Industry

AU - Saha, Lewlisa

AU - Tripathy, Hrudaya Kumar

AU - Gaber, Tarek

AU - El-Gohary, Hatem

AU - El-kenawy, El Sayed M.

PY - 2023/3

Y1 - 2023/3

KW - churn prediction

KW - customer relationship management

KW - data analytics

KW - telecommunication industry

UR - https://www.scopus.com/pages/publications/85149983115

UR - https://www.scopus.com/pages/publications/85149983115#tab=citedBy

UR - https://www.open-access.bcu.ac.uk/14828/

U2 - 10.3390/su15054543

DO - 10.3390/su15054543

M3 - Article

AN - SCOPUS:85149983115

SN - 2071-1050

VL - 15

JO - Sustainability (Switzerland)

JF - Sustainability (Switzerland)

IS - 5

M1 - 4543

ER -

Deep Churn Prediction Method for Telecommunication Industry

Keywords

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