Vol. 5 No. 3 (2019) · Articles
Ms. Sandhya Khanna
Compucom Institute of Information Technology & Management, Jaipur, IN
Ms. Renu Tiwari
Compucom Institute of Information Technology & Management, Jaipur, IN
Keywords: Privacy preserving, Data mining, Classification, Models, Techniques.
To advance a well information from available information, number of techniques and methods has been developed in the area of data mining so far. On the other hand privacy is one of the most important properties of information that any system should satisfy. The secrecy of the information must be maintained while sharing the information among different un-trusted parties. Thus privacy plays a major role and also an important issue in most of the data mining applications. Privacy is main concern in the present technological phase in the world. Information security has become a dangerous issue since the information sharing has a common need. So secrecy is suitable an progressively significant problem in multiple data mining uses in many fields such as medical research, intelligence agencies, hospital records maintenance etc.
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Ms. Sandhya Khanna, Ms. Renu Tiwari, “PRIVACY PRESERVING IN DATA MINING: A REVIEW,” International Journal of Technical Innovation in Modern Engineering & Science, vol. 5, no. 3, pp. 646-650, Nov 2021.
Copyright (c) 2019 Ms. Sandhya Khanna, Ms. Renu Tiwari
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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