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Reseach Article

A Machine Learning Model for Customer Segmentation in a Telecom Company using K –Nearest Neighbor (KNN)

by Israa Abdulrauof Othman
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 184 - Number 31
Year of Publication: 2022
Authors: Israa Abdulrauof Othman
10.5120/ijca2022922385

Israa Abdulrauof Othman . A Machine Learning Model for Customer Segmentation in a Telecom Company using K –Nearest Neighbor (KNN). International Journal of Computer Applications. 184, 31 ( Oct 2022), 36-42. DOI=10.5120/ijca2022922385

@article{ 10.5120/ijca2022922385,
author = { Israa Abdulrauof Othman },
title = { A Machine Learning Model for Customer Segmentation in a Telecom Company using K –Nearest Neighbor (KNN) },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2022 },
volume = { 184 },
number = { 31 },
month = { Oct },
year = { 2022 },
issn = { 0975-8887 },
pages = { 36-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume184/number31/32514-2022922385/ },
doi = { 10.5120/ijca2022922385 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:22:54.076415+05:30
%A Israa Abdulrauof Othman
%T A Machine Learning Model for Customer Segmentation in a Telecom Company using K –Nearest Neighbor (KNN)
%J International Journal of Computer Applications
%@ 0975-8887
%V 184
%N 31
%P 36-42
%D 2022
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Now a days many countries hosts a fluid and competitive telecommunication market and for a company to create .sustain customer value and increase economic efficiency, it needs to better understand its customers. The purpose of customer segmentation or clustering is to deliver actionable results for marketing, business planning and product development .This paper focus on customer segmentation using clustering algorithms on real data of a telecommunication company, the dataset is from IBM recourses. After choosing appropriate attributes for clustering, KNN clustering algorithm was used in order to create different customer segments. Moreover, the insights obtained from each segment were analyzed before suggesting marketing strategies for up- selling and better targeted campaigns.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Machine Learning Nearest Neighbor (KNN) Customer Segmentation Telecom Company