Machine Learning-Based Data Analytics With Privacy: Privacy-Preserving Data Analytics

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Author(s): Rupali Tajanpure (GITAM University, India)and Akkalakshmi Muddana (GITAM University, India)
Copyright: 2023
Pages: 16
Source title: Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence
Source Author(s)/Editor(s): Kamal Kant Hiran (Sir Padampat Singhania University, India & Lincoln University College, Malaysia), K. Hemachandran (Woxsen University, India), Anil Pise (University of the Witwatersrand, South Africa)and B. Justus Rabi (Christian College of Engineering and Technology, India)
DOI: 10.4018/978-1-6684-6519-6.ch005

Keywords: Artificial Intelligence / Business & Management / Business Intelligence / Engineering Science Reference

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Abstract

Data analytics is a very common word today. Data is collected from various sources and analyzed for decision making. The decisions help for growing business, for healthcare support, as well as to keep track of some useful information on communication media. For the same data may be shared, stored, and analyzed. Each of these three processes involves threat of data leakage to hacker. To prevent this, privacy preservation algorithms are used. This chapter discusses about privacy preserving techniques right from data collection to analytics through data storage. The data classification techniques are also discussed for understanding of machine learning data analytics. At the end open issues in privacy preserving are also discussed.

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Machine Learning-Based Data Analytics With Privacy: Privacy-Preserving Data Analytics

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