Encoding and Decoding Techniques for Distributed Data Storage Systems

Ms.Anbarasi A; Dr. K.Vivekanandan

Encoding and Decoding Techniques for Distributed Data Storage Systems

Ms.Anbarasi A * §

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Dr. K.Vivekanandan

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§ Bharathiar University,Coimbatore,India.

Encoding and Decoding Techniques for Distributed Data Storage Systems

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Abstract

Dimensionality reduction is the conversion of high-dimensional data into a meaningful representation of reduced data. Preferably, the reduced representation has a dimensionality that corresponds to the essential dimensionality of the data. The essential dimensionality of data is the minimum number of parameters needed to account for the observed properties of the data [4]. Dimensionality reduction is important in many domains, since it facilitates classification, visualization, and compression of high-dimensional data, by helpful the curse of dimensionality and other undesired properties of high-dimensional spaces [5]. Dimension reduction can be beneficial not only for reasons of computational efficiency but also because it can improve the accuracy of the analysis. In this research area, it significantly reduces the storage spaces.

References

2 Cites in Article

Reference Format

Wu-Shan,Ji-Hui Jiang,Yu (2005). Distributed Data Mining on the Grid.
U Kulkarni,K Tangod,S Mangalwede,A Yardi (2006). Exploring the Capabilities of Mobile Agents in Distributed Data Mining.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Ms.Anbarasi A, Dr. K.Vivekanandan. . "Encoding and Decoding Techniques for Distributed Data Storage Systems". Global Journal of Computer Science and Technology GJCST Volume 11 (GJCST Volume 11 Issue 13).

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GJCST Volume 11 Issue 13

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Dimensionality reduction high-dimension and storage

Classification

GJCST Classification E.2

E.3

Submission ReceivedJune 12, 2011
Peer Review Double Blind
Handling Editor
Accepted July 8, 2011
Published July 20, 2011

Version of record

v1.2

Issue date

August 2, 2011

Language

English

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Article Matrices

Total Score: 146

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Ms.Anbarasi A and Dr. K.Vivekanandan (PhD/Dr. count: 1)

View Count (all-time): 242

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Publish Date: 2011 07, Wed

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Total Views: 6.6K

Total Downloads: 275

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