Enhancing random projection with independent and cumulative additive noise for privacy-preserving data stream mining-Reference-Cited by-同舟云学术

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Enhancing random projection with independent and cumulative additive noise for privacy-preserving data stream mining

Published:2020-08 Issue: Volume:152 Page:113380
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Denham Benjamin^ORCID,Pears Russel,Naeem M. Asif^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference61 articles.

1. Restricted sensitive attributes-based sequential anonymization (RSA-SA) approach for privacy-preserving data stream publishing;Abdelhameed;Knowledge-based Systems,2019

2. A condensation approach to privacy preserving data mining;Aggarwal,2004

3. Privacy-preserving data mining;Agrawal,2000

4. Residential appliance identification and future usage prediction from smart meter;Basu,2013

5. MOA: Massive online analysis;Bifet;Journal of Machine Learning Research,2010

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2. In-Situ Privacy via Mixed-Signal Perturbation and Hardware-Secure Data Reversibility;IEEE Transactions on Circuits and Systems I: Regular Papers;2024-06

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4. Image-based random rotation for preserving the data in data mining process;Signal, Image and Video Processing;2024-03-19

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