Privacy-Preserving Data Mining

Privacy-Preserving Data Mining

 

266,66 €
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Editorial:
Springer Nature B.V.
Año de edición:
2008
ISBN:
9780387709918

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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.

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