Manuscript Number : IJSRSET162168
Distributed Data Mining: Implementing Data Mining Jobs on Grid Environments
Authors(3) :-Vishal Bhemwala, Bhavesh Patel, Dr. Ashok Patel
Data mining technology is not only composed by efficient and effective algorithms, executed as standalone kernels. Rather, it is constituted by complex applications articulated in the non trivial interaction among hardware and software components, running on large scale distributed environments. This last feature turns out to be both the cause and the effect of the inherently distributed nature of data, on one side, and, on the other side, of the spatiotemporal complexity that characterizes many DM applications. For a growing number of application fields, Distributed Data Mining (DDM) is therefore a critical technology. In this research paper, after reviewing the open problems in DDM, we describe the DM jobs on Grid environments. We will introduce the design of Knowledge Grid System.
Vishal Bhemwala
Data Mining, Knowledge Grid, Distributed Data Mining
Publication Details
Published in :
Volume 2 | Issue 1 | January-February 2016 Article Preview
Department of Computer Science, Hem. North Gujarat University, Patan, Gujarat, India
Bhavesh Patel
Department of Computer Science, Hem. North Gujarat University, Patan, Gujarat, India
Dr. Ashok Patel
Department of Computer Science, Hem. North Gujarat University, Patan, Gujarat, India
Date of Publication :
2016-02-25
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) :
327-332
Manuscript Number :
IJSRSET162168
Publisher : Technoscience Academy
Journal URL :
https://ijsrset.com/IJSRSET162168