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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 1    
Website: http://www.ijser.org
scirp IJSER >> Volume 3,Issue 1,January 2012
Association Rule Mining on Distributed Data
Full Text(PDF, )  PP.139-144  
Pallavi Dubey
Association rules, Apriori algorithm, parallel and distributed data mining, Multiprocessing Environment, XML data, response time
Applications requiring large data processing, have two major problems, one a huge storage and its management and second processing time, as the amount of data increases. Distributed databases solve the first problem to a great extent but second problem increases. Since, current era is of networking and communication and people are interested in keeping large data on networks, therefore, researchers are proposing various algorithms to increase the throughput of output data over distributed databases. In my research, I am proposing a new algorithm to process large amount of data at the various servers and collecting the processed data on client machine as much as he/she is requiring. The data is kept in XML format, which allows processing it further, if needed.
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