Distributed data mining on the grid
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SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
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RTAS '06 Proceedings of the 12th IEEE Real-Time and Embedded Technology and Applications Symposium
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MUE '07 Proceedings of the 2007 International Conference on Multimedia and Ubiquitous Engineering
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WICSA '08 Proceedings of the Seventh Working IEEE/IFIP Conference on Software Architecture (WICSA 2008)
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MUE '08 Proceedings of the 2008 International Conference on Multimedia and Ubiquitous Engineering
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ISDA '08 Proceedings of the 2008 Eighth International Conference on Intelligent Systems Design and Applications - Volume 02
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IEEE Transactions on Parallel and Distributed Systems
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KES-AMSTA'08 Proceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications
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ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part II
Distributed data mining on grids: services, tools, and applications
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A hybrid model for improving response time in distributed data mining
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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IEEE Network: The Magazine of Global Internetworking
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With the advances in mobile grid technology, it is possible to store ever greater amounts of information in the mobile data grid environment. The issues of information retrieval and knowledge discovery from wireless or mobile grids are becoming increasingly important. In this paper, we use mobile agent technology to propose the RAKER, a resource-aware information extraction architecture on the mobile grid. The RAKER can dynamically determine processing and policies for information extraction, employing our proposed resource estimation model to achieve high levels of performance and availability. With it, mobile users can extract information or knowledge stored on mobile grids in an efficient, effective and transparent way without worrying about the most important issue in mobile computing, which is energy consumption. We show the implementation with an example to demonstrate the use of RAKER. In addition, we display its performance by measuring latency and energy consumption and simulating the availability of the system.