• Roushan Kumar
• Bhawana Arora

Data mining is one of the typically common approach for storage of several information, procedure, number crunching operation, mathematical process, recalculation of mathematical operation calculation transposition computing process. People willingly refused to share their data and disclose their flase details. Due to the wide multiplication of diplomatic information on the internet privacy-conserving data mining has been widely used in recent year. We discuss methods for randomizing, canonizing, and distributing data-mining privacy. Information is dominance and the more we learn about code break-in, the less we are likely to become the target of the malicious hackers of IT. In this article we draw our attraction overrecent privacy policies and evaluate the standard data security, plan of action and discuss its advantages. Finally, the most recent and good technique are addressd for prospective study.

Data Mining, Privacy-Preserving, Privacy-Preserving Data Mining (PPDM), DM Technique, Privacy-Preserving Technique

"Modified Scanning of Varied Privacy- Conserving Data Mining Approaches", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.1264-1269, January-2019, Available :http://www.jetir.org/papers/JETIR1901C75.pdf

"Modified Scanning of Varied Privacy- Conserving Data Mining Approaches", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp1264-1269, January-2019, Available at : http://www.jetir.org/papers/JETIR1901C75.pdf