원문정보
보안공학연구지원센터(IJDTA)
International Journal of Database Theory and Application
Vol.6 No.2
2013.04
pp.71-78
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
This paper presents a mobility prediction technique based on one of the most used Data mining technique which is the association rules. Our solution can be implemented on a next-generation mobile networks by exploiting the data available on existing infrastructure (roads, locations of base stations ...etc.) and the users’ displacements history. Simulations carried out using a realistic model of movements showed that our strategy can accurately predict up to 90% of the users’ movements by knowing only their last two movements.
목차
Abstract
1. Introduction
2. State of the Art
3. Movement Prediction and Data Mining
4. Presentation of the Solution
4.1. The association rules
5. Adjustment and Evaluation
8.1. Adjustment and evaluation of the association rules algorithm
6. Conclusion
References
1. Introduction
2. State of the Art
3. Movement Prediction and Data Mining
4. Presentation of the Solution
4.1. The association rules
5. Adjustment and Evaluation
8.1. Adjustment and evaluation of the association rules algorithm
6. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보