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Feature selection for privacy preserving in data mining with linear regression using genetic algorithm
U. Kumaran,
Published in Institute of Advanced Scientific Research, Inc.
2017
Volume: 9
   
Issue: Special Issue 2
Pages: 1059 - 1067
Abstract
With the recent advancement in technology and supreme power to store large amounts of data invokes the endless possibilities of data mining and analysis using Data Warehouses and Cloud Storage.Peta bytes of data being generatedismaking the countries/companies/industries/organisations data driven which, decides the trends and finds the hidden patterns, with better visualisation. With data comes the important issue and aspect of maintenance its privacy. Privacy preserving in data mining is an upcoming field of research which is using various statistical and state of the art machine learning algorithm for preserving the very sensitive information about the firms from Data Miners while still allowing them to find the useful rules. In this paper we propose a way for maintaining our data secrecy using Linear Regression which uses Genetic Algorithm for deciding over the features for the most optimised accuracy and higher secrecy levels. © 2017, Institute of Advanced Scientific Research, Inc. All rights reserved.
About the journal
JournalJournal of Advanced Research in Dynamical and Control Systems
PublisherInstitute of Advanced Scientific Research, Inc.
ISSN1943023X