Privacy-Preserving Data Mining Process in Industry-Reference-Cited by-同舟云学术

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Privacy-Preserving Data Mining Process in Industry

Published:2023-01-27 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)
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Author:

Lakshmi T.C. Subbu¹,Rosaline R. Anto Arockia²,Selvi R. Thanga³,Karunkuzhali D.⁴,Lavanya S.⁵

Affiliation:

1. Francis Xavier Engineering College,Department of Information Technology,Tirunelveli,Tamil Nadu,India

2. SRM Institute of Science and Technology,Department of Computing Technologies,Chennai,Tamil Nadu,India

3. Vel Tech Rangarajan DR. Sagunthala R&D Institute of Science and Technology,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India

4. Panimalar Engineering College,Department of Information Technology,Chennai,Tamil Nadu,India

5. Muthayammal Engineering College (Autonomous),Department of Computer Science Engineering (Cyber Security),Namakkal,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10090461/10090462/10091069.pdf?arnumber=10091069

Reference15 articles.

1. An efficient privacy-preserving approach for data publishing;qian;Journal of Ambient Intelligence and Humanized Computing,2021

2. Privacy Preserving Data Mining as Proof of Useful Work

3. Achieving Graph Clustering Privacy Preservation Based on Structure Entropy in Social IoT

4. Anonymized noise addition in subspaces for privacy preserved data mining in high dimensional continuous data

5. Hybrid data mining technique based breast cancer prediction;padmanaban;AIP Conference Proceedings,2023

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