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Privacy-Preserving Data Mining

Charu C. Aggarwal, Philip S. Yu
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      Advances in hardware technology have increased the capability to store and record personal data. This has caused concerns that personal data may be abused. This book proposes a number of techniques to perform the data mining tasks in a privacy-preserving way. This edited volume contains surveys by distinguished researchers in the privacy field. Each survey includes the key research content as well as future research directions of a particular topic in privacy. The book is designed for researchers, professors, and advanced-level students in computer science, but is also suitable for practitioners in industry.
      Format: CONTRIBUTORS: Charu C. Aggarwal, Philip S. Yu EAN: 9780387709918 COUNTRY: United States PAGES: WEIGHT: 2040 g HEIGHT: 235 cm
      PUBLISHED BY: Springer-Verlag New York Inc. DATE PUBLISHED: 2008-07-07 CITY: GENRE: COMPUTERS / Database Administration & Management, COMPUTERS / Data Science / Data Analytics, COMPUTERS / System Administration / Storage & Retrieval, COMPUTERS / Security / General WIDTH: 155 cm SPINE:

      Book Themes:

      Coding theory and cryptology, Databases, Data warehousing, Data mining, Information retrieval, Computer security, Data encryption, Network security, Applied computing, Expert systems / knowledge-based systems

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      Advances in hardware technology have increased the capability to store and record personal data. This has caused concerns that personal data may be abused. This book proposes a number of techniques to perform the data mining tasks in a privacy-preserving way. This edited volume contains surveys by distinguished researchers in the privacy field. Each survey includes the key research content as well as future research directions of a particular topic in privacy. The book is designed for researchers, professors, and advanced-level students in computer science, but is also suitable for practitioners in industry.
      Format: CONTRIBUTORS: Charu C. Aggarwal, Philip S. Yu EAN: 9780387709918 COUNTRY: United States PAGES: WEIGHT: 2040 g HEIGHT: 235 cm
      PUBLISHED BY: Springer-Verlag New York Inc. DATE PUBLISHED: 2008-07-07 CITY: GENRE: COMPUTERS / Database Administration & Management, COMPUTERS / Data Science / Data Analytics, COMPUTERS / System Administration / Storage & Retrieval, COMPUTERS / Security / General WIDTH: 155 cm SPINE:

      Book Themes:

      Coding theory and cryptology, Databases, Data warehousing, Data mining, Information retrieval, Computer security, Data encryption, Network security, Applied computing, Expert systems / knowledge-based systems

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      Be the first to write a review
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