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.

Authors and Affiliations

Vishal Bhemwala
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

Data Mining, Knowledge Grid, Distributed Data Mining

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Publication Details

Published in : Volume 2 | Issue 1 | January-February 2016
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

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Vishal Bhemwala, Bhavesh Patel, Dr. Ashok Patel, " Distributed Data Mining: Implementing Data Mining Jobs on Grid Environments, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 1, pp.327-332, January-February-2016. Available at doi : https://doi.org/10.32628/IJSRSET162168
Journal URL : http://ijsrset.com/IJSRSET162168

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