Data Mining is a process of discovering useful
information in large data repositories. Data mining
techniques have been used to enhance information retrieval
systems. Privacy-preserving data mining (PPDM) refers to
the area of data mining that is primarily concerned with
protecting against disclosure of individual data records i.e.,
to safeguard sensitive information. To address about
privacy researchers in data mining community have
proposed various solutions. Privacy in data mining can be
obtained by various techniques like Perturbation,
Anonymization and Cryptographic.The main intension of
this paper is to explore various PPDM techniques in
literatures for handling privacy issues in data mining
Real Time Impact Factor:
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Author Name: Jyothi Mandala
URL: View PDF
Keywords: Perturbation, PPDM, K-Anonymity, Cryptography
ISSN: 2394-6385
EISSN: 2394-6393
EOI/DOI:
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