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Cluster Computing
Published in: Cluster Computing 1/2019

10-01-2018

Upkeeping secrecy in information extraction using ‘k’ division graph based postulates

Authors: B. Santhosh Kumar, S. Karthik, V. P. Arunachalam

Published in: Cluster Computing | Special Issue 1/2019

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Abstract

The prevailing mechanisms for extracting useful information might offer enhanced results in extraction of useful data for creating classification policies. The goal is to administer the disputes prevailing within the categorization for supervised data. Moreover several schemes conceal the individuality of the schemes employed which attempts to conceal the location of information which might become a serious issue during conserving privacy of the data stored. The aim is to address the disputes by making use of a graph and hypothetical based scheme termed as k-segmentation of graphs which delivers the creation of difficult choice based tree classification organized into a priority based hierarchy. The analysis depicts that the designed scheme offers accuracy and effectiveness.
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Metadata
Title
Upkeeping secrecy in information extraction using ‘k’ division graph based postulates
Authors
B. Santhosh Kumar
S. Karthik
V. P. Arunachalam
Publication date
10-01-2018
Publisher
Springer US
Published in
Cluster Computing / Issue Special Issue 1/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-018-1705-2

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