Classification of Mobile Customers Behavior and Usage Patterns using Self-Organizing Neural Networks
Dublin Core
Title
Classification of Mobile Customers Behavior and Usage Patterns using Self-Organizing Neural Networks
Subject
Mobile telecommunications
Self-Organizing Map
Customer segmentation
Description
Mobile usage is witnessing a booming growth attributed to advances in smartphone technologies, the extremely high penetration rate and the availability of popular mobile applications. Telecommunication markets have been injecting huge investments to fulfil the sheer demand on wireless network and mobile services as a result. Such potentials highlights the importance of behavioral segmentation of mobile network users to target different sectors of customers with efficient marketing strategies and ensure customer retention in light of the intense competition. A major hurdle in applying this approach is the number of dimensions underlying customer preferences which makes it hard to visualize similarities among customers and formulate behavioral segments correctly and efficiently. In this paper, we use self-organizing maps, to detect different usage patterns of mobile users. The proposed system is tested using a large sample of customers’ data provided by major mobile operator in Jordan. The study detected different behavioural segments in this market and highlights the role of data users in modern mobile markets. In this context, we give detailed analysis of our results on user behavioral segmentation.
Creator
Ghnemat, Rawan
Jaser, Edward
Source
International Journal of Interactive Mobile Technologies (iJIM); Vol. 9 No. 4 (2015); pp. 4-11
1865-7923
Publisher
International Association of Online Engineering (IAOE), Vienna, Austria
Date
2015-09-25
Rights
Copyright (c) 2017 Rawan Ghnemat, Edward Jaser
Relation
Format
application/pdf
Language
eng
Type
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Identifier
Citation
Rawan Ghnemat and Edward Jaser, Classification of Mobile Customers Behavior and Usage Patterns using Self-Organizing Neural Networks, International Association of Online Engineering (IAOE), Vienna, Austria, 2015, accessed November 6, 2024, https://igi.indrastra.com/items/show/1127