Privacy-Preserving Data Mining: Models and Algorithms

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Privacy-Preserving Data Mining: Models and Algorithms
Publisher: Springer | ISBN: 0387709916 | edition 2008 | File type: PDF | 513 pages | 10,6 mb
Privacy-Preserving Data Mining: Models and Algorithms proposes a number of techniques to perform the data mining tasks in a privacy-preserving way. These techniques generally fall into the following categories: data modification techniques, cryptographic methods and protocols for data sharing, statistical techniques for disclosure and inference control, query auditing methods, randomization and perturbation-based techniques.


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