A Survey On Distributed Data Mining Process Via Grid
Distributed Data Mining (DDM) techniques have become necessary for large and multi-scenario datasets requiring resources, which are heterogeneous and distributed in nature. In this paper, the authors focus their attention on distributed data mining approach via grid. They have discussed and analyzed a new framework based on grid environments to execute new distributed data mining approaches that best suits a distributed and heterogeneous datasets that are commercially available. The architecture and motivation for the design have also been presented in this paper. A detailed survey on distributed data mining technology was also carried out which could offer a better solution since they are designed to work in a grid environment by paying careful attention to the computing and communication resources.