Thursday 28th of March 2024
 

Privacy Preserving for Feature Selection in Data Mining Using Centralized Network


Hemanta Kumar Bhuyan, Maitri Mohanty and Smruti Rekha Das

This paper proposed a feature selection with privacy preservation in centralized network. Data can be preserved for privacy by perturbation technique as alias name. In centralized data evaluation, it makes data classification and feature selection for data mining decision model which make the structural information of model in this paper. The application of gain ratio technique for better performance of feature selection has taken to perform the centralized computational task. All features don€Ÿt need to preserve the privacy for confidential data for best model. The chi-square testing has taken for the classification of data by centralized data mining model using own processing unit. The alias data model for privacy preserving data mining has taken to develop the data mining technique to make best model without violating the privacy individuals. The proposed process of data miner task has made best feature selection and two type experimental tests have taken in this paper.

Keywords: Privacy preserving, data mining, perturbed data, feature selection

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ABOUT THE AUTHORS

Hemanta Kumar Bhuyan
Hemanta Kumar Bhuyan is a research scholar (PhD) in the Department of Computer Science and Engineering, Sikhya \'O\' Anusandhan (SOA) University, Odisha, India. He obtained his M.Tech degree in Computer Science and Engineering from Utkal University, Odisha, India in 2005. He is currently working as an Assistant Professor in the department of computer science & engineering, Mahavir Institute of Engineering and Technology, Odisha, India. He has published many international and national journals and conference papers. His research interests include privacy preserving, distributed data mining and feature selection.

Maitri Mohanty
Maitri Mohanty has completed her BE in computer science from Biju Pattnaik university of Technology and M.Tech. from college of engg. and Technology(CET), Bhubaneswar, Biju Pattnaik University of Technology, Odisha,India. She is currently working as an Assistant Professor in the department of computer science & engineering, Mahavir Institute of Engineering and Technology, Odisha, India. She has published many international and national journals and conference papers. Her research interests include privacy preserving and distributed data mining, feature selection.

Smruti Rekha Das
Smruti Rekha Das has completed Master of computer and Application (MCA) from Utkal University, Odisha, India. Her M.Tech degree in Computer Science and Engineering from Sikhya \'O\' Anusandhan (SOA) University, Odisha,India. She is currently working as a Asst. Prof. in the department of computer science & engineering, Mahavir Institute of Engineering and Technology, Odisha, India. He has published many international and national journals and conference papers. Her research interests include privacy preserving, data mining and feature selection, clustering etc.


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