Privacy-aware Knowledge Discovery: Novel Applications And New Techniques

September 7, 2019|
Privacy-aware Knowledge Discovery: Novel Applications And New Techniques by Francesco Bonchi
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Covering research at the frontier of this field,Privacy-Aware Knowledge Discovery: Novel Applications and New Techniquespresents state-of-the-art privacy-preserving data mining techniques for application domains, such as medicine and social networks, that face the increasing heterogeneity and complexity of new forms of data. Renowned authorities from prominent organizations not only cover well-established results-they also explore complex domains where privacy issues are generally clear and well defined, but the solutions are still preliminary and in continuous development.

Divided into seven parts, the book provides in-depth coverage of the most novel reference scenarios for privacy-preserving techniques. The first part gives general techniques that can be applied to various applications discussed in the rest of the book. The second section focuses on the sanitization of network traces and privacy in data stream mining. After the third part on privacy in spatio-temporal data mining and mobility data analysis, the book examines time series analysis in the fourth section, explaining how a perturbation method and a segment-based method can tackle privacy issues of time series data. The fifth section on biomedical data addresses genomic data as well as the problem of privacy-aware information sharing of health data. In the sixth section on web applications, the book deals with query log mining and web recommender systems. The final part on social networks analyzes privacy issues related to the management of social network data under different perspectives.

While several new results have recently occurred in the privacy, database, and data mining research communities, a uniform presentation of up-to-date techniques and applications is lacking. Filling this void,Privacy-Aware Knowledge Discoverypresents novel algorithms, patterns, and models, along with a significant collection of open problems for future investigation.

Francesco Bonchiis a senior research scientist at Yahoo! Research in Barcelona, Spain, where he is part of the Barcelona Social Mining Group. He is program co-chair of the upcoming European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2010). Dr. Bonchi has also served as prog...
Title:Privacy-aware Knowledge Discovery: Novel Applications And New TechniquesFormat:PaperbackProduct dimensions:542 pages, 9.21 X 6.14 X 0 inShipping dimensions:542 pages, 9.21 X 6.14 X 0 inPublished:September 7, 2019Publisher:Crc Press LlcLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:1138374105

ISBN - 13:9781138374102

Appropriate for ages: All ages

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