Classification of Mobile Customers Behavior and Usage Patterns using Self-Organizing Neural Networks

Authors

  • Rawan Ghnemat Princess Sumaya University for Technology
  • Edward Jaser Princess Sumaya University for Technology

DOI:

https://doi.org/10.3991/ijim.v9i4.4392

Keywords:

Mobile telecommunications, Self-Organizing Map, Customer segmentation

Abstract


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.

Author Biographies

Rawan Ghnemat, Princess Sumaya University for Technology

Rawan Ghnemat holds a PhD in Computer Science, with distinction, from Le Havre University, France. Her research interests include Artificial Intelligence, Swarm Intelligence, Data Mining, Urban Dynamics Modeling and Multi-Agent Systems (MAS). She works as an assistant professor at Princess Sumaya University for Technology, Amman, Jordan. She has several scientific publications and funded research projects.

Edward Jaser, Princess Sumaya University for Technology

Computer Graphics and Animation, Assistant Professor

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Published

2015-09-25

How to Cite

Ghnemat, R., & Jaser, E. (2015). Classification of Mobile Customers Behavior and Usage Patterns using Self-Organizing Neural Networks. International Journal of Interactive Mobile Technologies (iJIM), 9(4), pp. 4–11. https://doi.org/10.3991/ijim.v9i4.4392

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Section

Papers