3Administration of Radio Film and Television of Jilin Province, P.R.C

Abstract:- Grid is a solution to computationally and data intensive computing problems. Since the distributed knowledge discovery process is both data and computational intensive, the Grid is a natural platform for deploying a high performance data mining service. The approach to efficient data mining is parallelization, where the whole computation is broken up into parallel tasks. Existing mechanisms of data mining parallelization are based on NOW or SMP, it is necessary to develop new parallel mechanism for grid feature. We propose a new framework for easily and efficiently parallelizing data mining algorithms on Grid. The framework decomposes tasks according to each of the existing computing power of grid