PRIVACY PRESERVING DATA MINING USING THRESHOLD BASED FUZZY C-MEANS CLUSTERING

PRIVACY PRESERVING DATA MINING USING THRESHOLD BASED FUZZY C-MEANS CLUSTERING

Privacy preserving is critical in the field of where data mining is transformed into cooperative task among individuals. In data mining, clustering algorithms are most skilled and frequently used frameworks. In this paper, we propose a privacy-preserving threshold clustering that uses code based tec...

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Bibliographic Details
Main Authors: V Manikandan, V Porkodi, Amin Salih Mohammed, M Sivaram
Format: Article
Language:English
Published: ICT Academy of Tamil Nadu 2018-10-01
Series:ICTACT Journal on Soft Computing
Subjects:
Privacy Preserving
Data Mining
Threshold Cryptography
Fuzzy C-means Clustering
Vandermonde Matrix
Secure Multiparty Computation
Online Access:http://ictactjournals.in/ArticleDetails.aspx?id=3620

Internet

http://ictactjournals.in/ArticleDetails.aspx?id=3620

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