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This work is licensed under a Creative Commons Attribution 4.0 International License.
Privacy Preserving Data Mining
SEEMA KEDAR, SNEHA DHAWALE, WANKHADE VAIBHAV Pavan Kadam, Siddharth Wani, Pavan Ingale HOD, Information Technology Department, Pune. India Student, Information Technology Department, Pune. India
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Abstract: There is a tremendous increase in the research of data mining. Data mining is the process of extraction of data from large database. One of the most important topics in research community is Privacy preserving data mining (PPDM). It is essential to maintain a ratio between privacy protection and knowledge discovery. The goal is to hide sensitive item sets so that the adviser cannot extract the modified database. To solve such problems there are some algorithms presented by various authors worldwide. The primary goal of this survey paper is to understand the existing privacy preserving data mining techniques and to achieve efficiency.
Keywords: Privacy Preserving, Utility Mining, Sanitization, Data Mining
Keywords: Privacy Preserving, Utility Mining, Sanitization, Data Mining
How to Cite:
[1] SEEMA KEDAR, SNEHA DHAWALE, WANKHADE VAIBHAV Pavan Kadam, Siddharth Wani, Pavan Ingale HOD, Information Technology Department, Pune. India Student, Information Technology Department, Pune. India, βPrivacy Preserving Data Mining,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
This work is licensed under a Creative Commons Attribution 4.0 International License.