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- W4214490054 abstract "The process of knowledge extraction from large datasets is the primary task in Data Mining. Data warehouse is one of the central repositories of data. When data is available only at a single location, a number of serious security problems may crop up. So, various data mining techniques are applied to the data located in data warehouse to extract useful patterns from the data and protect privacy of sensitive data. In recent times, attacks on people have increasingly become common. So, people are reluctant to share their data for loss of privacy. In such scenarios, privacy preserving data mining techniques play a major role in ensuring security of sensitive data. Sometimes, non-sensitive data may also convey sensitive information to attackers. This paper reviews various privacy preserving data mining techniques in literature specifying their details. A table providing a comparison of such techniques is also presented here." @default.
- W4214490054 created "2022-03-02" @default.
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- W4214490054 date "2022-01-01" @default.
- W4214490054 modified "2023-09-30" @default.
- W4214490054 title "A Comprehensive Assessment of Privacy Preserving Data Mining Techniques" @default.
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- W4214490054 doi "https://doi.org/10.1007/978-981-16-7657-4_67" @default.
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