Privacy Preserving Data Mining through New Proposed “Two Phase SVD Matrix Factorization Modelâ€
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Abstract
In recent years, privacy preserving data mining has been studied extensively, because of the wide proliferation of sensitive
information on the Internet. In particular,recent advances in the data-mining field have lead to increased concerns about privacy.
While the topic of privacy has been traditionally studied in the context of cryptography and information hiding, recent emphasis on
data mining has lead to renewed interest in the field. A number of algorithmic techniques have been designed for privacypreserving
data mining. We have proposed new model Two-Phase SVD Matrix Factorization Model, wh i c h p rovide s different
level of privacy.
Keywords- Privacy preserving, Data mining, svd, matrix factorization.
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