Bilkent University
Department of Computer Engineering


S E M I N A R

USING A DATA MINING APPROACH FOR PREDICTION OF USER MOVEMENTS IN MOBILE ENVIRONMENTS

 

Gökhan Yavaş

MS Thesis Presentation

Supervisor: Prof. Dr. Özgür Ulusoy

 

 

Mobility prediction is one of the most essential issues that need to be explored for mobility management in mobile computing systems. In this thesis, we propose a new algorithm for predicting the next inter-cell movement of a mobile user in a Personal Communication Systems network. In the first phase of our three-phase algorithm, user mobility patterns are mined from the history of mobile user trajectories. In the second phase, mobility rules are extracted from these patterns, and in the last phase, mobility predictions are accomplished by using these rules. The performance of the proposed algorithm is evaluated through simulation as compared to two other prediction methods. The performance results obtained in terms of Precision and Recall indicate that our method can make more accurate predictions than the other methods.


 

DATE: December 15, 2003, Friday @ 16:00
PLACE: EA-409