IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

An Immune Systems Approach for Classifying Mobile Phone Usage

An Immune Systems Approach for Classifying Mobile Phone Usage
View Sample PDF
Author(s): Hanny Yulius Limanto (Nanyang Technological University, Singapore), Tay Joc Cing (Nanyang Technological University, Singapore) and Andrew Watkins (Mississippi State University, USA)
Copyright: 2009
Pages: 12
Source title: Mobile Computing: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): David Taniar (Monash University, Australia)
DOI: 10.4018/978-1-60566-054-7.ch218

Purchase

View An Immune Systems Approach for Classifying Mobile Phone Usage on the publisher's website for pricing and purchasing information.

Abstract

With the recent introduction of third generation (3G) technology in the field of mobile communications, mobile phone service providers will have to find an effective strategy to market this new technology. One approach is to analyze the current profile of existing 3G subscribers to discover common patterns in their usage of mobile phones. With these usage patterns, the service provider can effectively target certain classes of customers who are more likely to purchase their subscription plans. To discover these patterns, we use a novel algorithm called Artificial Immune Recognition System (AIRS) that is based on the specificity of the human immune system. In our experiment, the algorithm performs well, achieving an accuracy rate in the range of 80% to 90%, depending on the set of parameter values used.

Related Content

. © 2021. 35 pages.
. © 2021. 24 pages.
. © 2021. 35 pages.
. © 2021. 30 pages.
. © 2021. 34 pages.
. © 2021. 21 pages.
. © 2021. 31 pages.
Body Bottom