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Scaling Effectivity of Research Contributions in Distributed Data mining over Grid Infrastructures

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Shahina Parveen M., G. Narsimha. Published in Information Sciences.

Scaling Effectivity of Research Contributions in Distributed Data mining over Grid Infrastructures
Communications on Applied Electronics
Year of Publication: 2015
Publisher: Foundation of Computer Science (FCS), NY, USA
Series: Volume 3 Number 8
Authors: Shahina Parveen M., G. Narsimha
10.5120/cae2015652008
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Shahina Parveen M. and G Narsimha. Article: Scaling Effectivity of Research Contributions in Distributed Data mining over Grid Infrastructures. Communications on Applied Electronics 3(8):17-27, December 2015. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Shahina Parveen M. and G. Narsimha},
	title = {Article: Scaling Effectivity of Research Contributions in Distributed Data mining over Grid Infrastructures},
	journal = {Communications on Applied Electronics},
	year = {2015},
	volume = {3},
	number = {8},
	pages = {17-27},
	month = {December},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

With the increasing need of data availability and cloud-based services, distributed database management has already gained a maximum momentum in technological advancement. With the data stored in distributed manner, performing distributed data mining is encountering challenges especially when the data is real-time, non-static, highly heterogeneous, unstructured, etc. Usually, such forms of distributed data management are only effective if it is managed over grid infrastructure, which offers a suitable arena to the technology to provide better performance. However, research work considering distributed data mining over grid interface has not been nurtured to the best point in the research community as compared to conventional data mining approaches. This manuscript discusses the research trends and its effectiveness about the techniques and adoptability of the prior literature towards distributed data mining.

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Keywords

Distributed Data Mining, Grid Infrastructure, Mining, Cloud