Data Mining: An Overview from a Database Perspective
IEEE Transactions on Knowledge and Data Engineering
Mobile Computing and Databases-A Survey
IEEE Transactions on Knowledge and Data Engineering
Exploiting Data Mining Techniques for Broadcasting Data in Mobile Computing Environments
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
An Adaptive Location Management Algorithm for Mobile Computing
LCN '97 Proceedings of the 22nd Annual IEEE Conference on Local Computer Networks
A New Location Management Strategy Based on User Mobility Pattern for Wireless Networks
LCN '02 Proceedings of the 27th Annual IEEE Conference on Local Computer Networks
Mobility management in current and future communications networks
IEEE Network: The Magazine of Global Internetworking
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Wireless networks and mobile applications have grown very rapidly and have made a significant impact on computer systems. Especially, the usage of mobile phones and PDA is increased very rapidly. Added functions and values with these devices are thus greatly developed. If some regularity can be known from the user mobility behavior, then these functions and values can be further expanded and used intelligently. This paper thus attempts to mine appropriate mobility patterns for being used by mobile-system managers in future strategy planning. The location areas in which mobile users visit can be found from the log data stored in the home-location-register module. The preprocessing task for preparing appropriate data from HLR is then done. The mobility sequences from mobile users are formed. The algorithm then calculates the count of each term in all mobility sequences. The mining process based on counts is then performed to find mobility patterns.