A Review on Security Techniques for Privacy-Preserving in Data Mining
Year: 2019
Type: article
Abstract: As the rise in the data mining algorithm the extraction of knowledge from the large data is getting easy. But due to this new problem of Privacy of the knowledge from the stored data at various servers is introduced. So, it is required to provide privacy of the sensitive data from the data miners. This paper focuses on various approaches implemented by the miners for preserving of information at individual level, class level, etc. A detail description with limitation of different techniques security of privacy preserving is explained.
DOI: 10.32628/cseit195519
Authors: K. S Chandwani, Anjali Mishra, Ayushi Desai, Priyanka Kushwaha, Sonal Nikose, Shivani Wanjari
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W2979487407
