A review paper on Privacy-Preserving Data Mining

Authors

  • Patel M. Mohnish Patel, NIRT, RGPV, Bhopal
  • Prashant Richariya NIRT, RGPV, Bhopal
  • Shrivastava A NIRT, RGPV, Bhopal

Keywords:

data driven, artificial intelligence technology, data warehousing, threats

Abstract

Data mining technology help us in extraction of useful knowledge from large data sets. The process of data collection and data dissemination may, however, result in an inherent risk of privacy threats. Some private information about individuals, businesses and organizations has to be suppressed before it is shared or published. The privacy-preserving data mining (PPDM) has thus become an important issue in current years. This paper we propose an evolutionary privacy-preserving data mining technology to find appropriate method to perform secure transactions into a database.

References

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Published

2024-02-26

How to Cite

Patel, M., Richariya, P., & Shrivastava, A. (2024). A review paper on Privacy-Preserving Data Mining. COMPUSOFT: An International Journal of Advanced Computer Technology, 2(09), 296–299. Retrieved from https://ijact.in/index.php/j/article/view/53

Issue

Section

Review Article

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