Hybrid Perturbation Technique Using Feature Selection Method for Privacy Preservation in Data Mining

International Journal of Computer Applications
doi 10.5120/9257-3427
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Foundation of Computer Science

Related search

Privacy Preserving Data Mining Using Random Rotation Based Data Perturbation Technique

International Journal of Advance Engineering and Research Development
2015English

Techniques for Privacy Preservation in Data Mining

International Journal of Engineering Research and
2015English

A Hybrid Image Mining Technique Using LIMbased Data Mining Algorithm

International Journal of Computer Applications
2011English

Clustering-Anonymity Method for Data-Publishing Privacy Preservation

2015English

A Hybrid Feature Selection Algorithm for Microarray Data

Concurrency Computation Practice and Experience
Computer NetworksCommunicationsComputer Science ApplicationsComputational TheoryMathematicsTheoretical Computer ScienceSoftware
2018English

Non-Homogenous Slicing Anonymization With Subsequent Data Utility Analysis for Privacy Preservation Data Mining

International Journal of Research in Advent Technology
2019English

Feature Subset Selection for High Dimensional Data With Domain Analysis Using Semantic Mining

IOSR Journal of Computer Engineering
2014English

Image Privacy Protection Using Data Mining

International Journal of Recent Trends in Engineering and Research
2017English

Privacy-Preserving in Data Mining Using Anonymity Algorithm for Relational Data

International Journal of Science and Research (IJSR)
2016English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy