Replica selection in data grids using preconditioning of decision attributes by K-means clustering (K-RSDG)

dc.contributor.author	Almuttairi, Rafah M.
dc.contributor.author	Wankar, Rajeev
dc.contributor.author	Negi, Atul
dc.contributor.author	Rao, C. R.
dc.date.accessioned	2022-03-27T00:16:59Z
dc.date.available	2022-03-27T00:16:59Z
dc.date.issued	2010-12-01
dc.description.abstract	This paper extends the applicability of the Rough Set Replica Selection Strategy in Data Grids, RSDG, proposed previously for such situations where the history of replica sites is unavailable. Grey based Rough Set Theory is applied using replicas information only as an input data. The Decision attributes are derived applying Grey based K-means clustering algorithm upon the input data. Each cluster label of K clusters represents a class of Decision attribute in the Decision Table of the rough set. Comparing to the previous work the synthetic data experimentation shows the improvement in the overall performance. © 2010 IEEE.
dc.identifier.citation	Proceedings - 2nd Vaagdevi International Conference on Information Technology for Real World Problems, VCON 2010
dc.identifier.uri	10.1109/VCON.2010.11
dc.identifier.uri	http://ieeexplore.ieee.org/document/5692990/
dc.identifier.uri	https://dspace.uohyd.ac.in/handle/1/3223
dc.subject	Data grid
dc.subject	Grey based K-means clustering algorithm
dc.subject	Replica selection strategies
dc.subject	Rough set theory
dc.title	Replica selection in data grids using preconditioning of decision attributes by K-means clustering (K-RSDG)
dc.type	Conference Proceeding. Conference Paper
dspace.entity.type

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