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MULTI AGENT-BASED DISTRIBUTED DATA MINING

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Author(s): REECHA B. PRAJAPATI , SUMITRA MENARIA

Journal: International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
ISSN 2278-1323

Volume: 1;
Issue: 10;
Start page: 076;
Date: 2012;
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Keywords: DDM | MAS | ADDM | CMA | ARA

ABSTRACT
The Data Mining technology normally adopts dataintegration method to generate Data warehouse,onwhich to gather all data into a central site, and thenrun an algorithm against that data to extract the usefulModule Prediction and knowledge evaluation.However, a single data-mining technique has notbeen proven appropriate for every domain and dataset. Data mining techniques involving in suchcomplex environment must encounter great dynamicsdue to changes in the system can affect the overallperformance of the system. Agent computing whoseaim is to deal with complex systems has revealedopportunities to improve distributed data miningsystems in a number of ways. Multi-agent systems(MAS) often deal with complex applications thatrequire distributed problem solving. The field ofDistributed Data Mining (DDM) deals with thesechallenges in analyzing distributed data and offersmany algorithmic solutions to perform different dataanalysis and mining operations in a fundamentallydistributed manner that pays careful attention to theresource constraints. Since multi-agent systems areoften distributed and agents have proactive andreactive features which are very useful forKnowledge.
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