Tracking Mobile Units for Dependable Message Delivery
IEEE Transactions on Software Engineering
Locating Objects in Mobile Computing
IEEE Transactions on Knowledge and Data Engineering
A method for predicting future location of mobile user for location-based services system
Computers and Industrial Engineering
Petri-net integration - An approach to support multi-agent process mining
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
An improved kangaroo transaction model using surrogate objects for distributed mobile system
Proceedings of the 10th ACM International Workshop on Data Engineering for Wireless and Mobile Access
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Advancement in wireless network together with ubiquity of devices has resulted in storing incredible volumes of knowledge provided by data in the mobile devices. Knowledge provided by data from mobile system has become very essential in many day-to-day applications. The paper proposes novel data mining technique for distributed mobile system considering the constrained nature and limitations of the mobile devices using the object model. The object model define a method that allows mobile devices to participate seamlessly in mining process and act on behalf of mobile device and permit to cache the location based frequent datasets and retrieve the knowledge from those datasets and reduce wireless and wired data transfers, reducing the overhead imposed on the mining server and solving the location management problem. An experimental result proves the feasibility and reliability of the proposed approach and shows it is more robust against disconnection of mobile devices.