A Comparative Study on Temporal Mobile Access Pattern Mining Methods
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2012, Vol 3, Issue 3
Abstract
Mobile users behavior patterns is one of the most critical issues that need to be explored in mobile agent systems. Recently the algorithms of discovering frequent mobile user’s behavior patterns have been studied extensively. Existing mining methods have proposed frequent mobile user's behavior patterns statistically based on requested services and location information. Therefore, other studies considered that the mobile user's dynamic behavior patterns are usually associated with temporal access patterns. In this paper, temporal mobile access pattern methods are studied and compared in terms of complexity and accuracy. The advantages and disadvantages of these methods will be summarized as well.
Authors and Affiliations
Hanan Fahmy , Maha A. Hana , Yahia K. Helmy
Keywords
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