期刊名称：Canadian Journal on Artificail Intelligence, Machin Learning and Pattern Recognition
出版年度：2011
卷号：2
期号：2
页码：34-40
出版社：AM Publishers Corporation Canada
摘要：In this paper an optimal algorithm for distributed systems resource whit data mining mechanism will provide. In the proposed algorithm is used mechanism of effective parameters of data mining. Combined with specific parameters can make schedule to reduce database search using the new technique with better efficiency than distributed resource allocation system we used. Therefore a key candidate will use the function keys according to the terms and parameters for qualify to increase the level of output customer satisfaction. With this proposed algorithm for system resources and assimilate the technical and objective function based approach to the situation will reach a more favorable situation with the previous similar algorithms have been evaluated. RMSD algorithm to ERPASD algorithm is optimal in terms of timing and with higher reliability. Successive transactions in high-volume databases, and duplicate data, many problems can result for users. Using special techniques could improve this problem, and forgive the database with very high volume of scheduled banks scrolling I would much improved. Visit the above algorithm to remove the processing done in the database and data processing time reduces the repetitive use of RMSD algorithm and data mining mechanism could function competence in basic algorithms and approved to reduce the final time among users And finally performance , dependability and efficiency in software packages to increase and fix the problems in KDD.
