Features Weight Estimation Using a Genetic Algorithm for Customer Churn Prediction in the Telecom Sector

AuthID
 P-00Q-KHG
6
Author(s)
Amin, A
·
Shah, B
·
Abbas, A
·
Anwar, S
·
Alfandi, O
·
1
Editor(s)
Rocha A.Costanzo S.Adeli H.Reis L.P.
Document Type
Proceedings Paper
Year published
2019
Published
in Advances in Intelligent Systems and Computing, ISSN: 2194-5357
Volume: 931, Pages: 483-491
Conference
World Conference on Information Systems and Technologies, Worldcist 2019, Date: 16 April 2019 through 19 April 2019
Indexing
Scopus®
Crossref®2
Google Scholar®
Publication Identifiers
SCOPUS: 2-s2.0-85065085661
Source Identifiers
ISSN: 2194-5357
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