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Cluster Computing

, Volume 22, Supplement 1, pp 57–63 | Cite as

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

  • B. Santhosh KumarEmail author
  • S. Karthik
  • V. P. Arunachalam
Article

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.

Keywords

Information mining Precision Effectiveness Violation and segmentation 

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • B. Santhosh Kumar
    • 1
    Email author
  • S. Karthik
    • 1
  • V. P. Arunachalam
    • 1
  1. 1.Department of Computer Science and EngineeringSNS College of TechnologyCoimbatoreIndia

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