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Name:Privacy Preserving Data Mining Models and Algorithms~tqw~ darksiderg

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Privacy-Preserving Data Mining: Models and Algorithms
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Type.................: Ebook
Part Size............: 5,870,818 bytes




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Posted by............: ~tqw~

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Release Notes
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Advances in hardware technology have increased the capability to store and
record personal data about consumers and individuals. This has caused concerns
that personal data may be used for a variety of intrusive or malicious purposes.

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. This edited volume also
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.

Privacy Preserving Data Mining: Models and Algorithms is designed for
researchers, professors, and advanced-level students in computer science. This
book is also suitable for practitioners in industry.

Table Of Contents

Preface v
List of Figures xvii
List of Tables xxi
1 An Introduction to Privacy-Preserving Data Mining 1
2 A General Survey of Privacy-Preserving Data Mining Models and Algorithms 11
3 A Survey of Inference Control Methods for Privacy-Preserving Data Mining 53
4 Measures of Anonymity 81
5 k-Anonymous Data Mining: A Survey 105
6 A Survey of RandomizationMethods for Privacy-PreservingDataMining 137
7 A Survey of Multiplicative Perturbation for Privacy-Preserving Data Mining 157
8 A Survey ofQuantification of Privacy Preserving Data Mining Algorithms 183
9 A Survey of Utility-based Privacy-Preserving Data TransformationMethods 207
10 Mining Association Rules under Privacy Constraints 239
11 A Survey of Association Rule Hiding Methods for Privacy 267
12 A Survey of Statistical Approaches to Preserving Confidentiality of
Contingency Table Entries 291
13 A Survey of Privacy-PreservingMethods Across Horizontally Partitioned Data
313
14 A Survey of Privacy-Preserving Methods Across Vertically Partitioned Data 337
15 A Survey of Attack Techniques on Privacy-Preserving Data Perturbation
Methods 359
16 Private Data Analysis via Output Perturbation 383
17 A Survey of Query Auditing Techniques for Data Privacy 415
18 Privacy and the Dimensionality Curse 433
19 Personalized Privacy Preservation 461
20 Privacy-Preserving Data Stream Classification 487
Index 511

Product Details

* ISBN: 0387709916
* ISBN-13: 9780387709918
* Format: Hardcover, 535pp
* Publisher: Springer-Verlag New York, LLC
* Pub. Date: May 2008

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