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Privacy-aware knowledge discovery = ...
~
Ferrari, Elena.
Privacy-aware knowledge discovery = novel applications and new techniques /
紀錄類型:
書目-電子資源 : 單行本
正題名/作者:
Privacy-aware knowledge discovery/ edited by Francesco Bonchi, Elena Ferrari.
其他題名:
novel applications and new techniques /
其他作者:
Bonchi, Francesco.
出版者:
Boca Raton, FL :CRC Press, : 2011.,
面頁冊數:
1 online resource (xxvii, 514 p.) :ill. :
附註:
"A Chapman & Hall book".
標題:
Database security. -
電子資源:
http://www.crcnetbase.com/isbn/978-1-4398-0365-3
ISBN:
9781439803660 (electronic bk.)
Privacy-aware knowledge discovery = novel applications and new techniques /
Privacy-aware knowledge discovery
novel applications and new techniques /[electronic resource] :edited by Francesco Bonchi, Elena Ferrari. - Boca Raton, FL :CRC Press,2011. - 1 online resource (xxvii, 514 p.) :ill. - Chapman & Hall/CRC data mining and knowledge discovery series ;19. - Chapman & Hall/CRC data mining and knowledge discovery series..
"A Chapman & Hall book".
Includes bibliographical references and index.
Anonymity technologies for privacy-preserving data publishing and mining / Anna Monreale, Dino Pedreschi, and Ruggero G. Pensa -- Privacy preservation in the publication of sparse multidimensional data / Manolis Terrovitis, Nikos Mamoulis, and Panos Kalnis -- Knowledge hiding in emerging application domains / Osman Abul -- Condensation-based methods in emerging application domains / Yucel Saygin and Mehmet Ercan Nergiz -- Catch, clean, and release : a survey of obstacles and opportunities for network trace sanitization / Keren Tan ... [et al.] -- Output privacy in stream mining / Ting Wang and Ling Liu -- Privacy issues in spatio-temporal data mining / Aris Gkoulalas-Divanis and Vassilios S. Verykios -- Probabilistic grid-based approaches for privacy-preserving data mining on moving object trajectories / Gyözö Gidófalvi, Xuegang Huang, and Torben Bach Pedersen -- Privacy and anonymity in location data management / Claudio Bettini ... [et al.] -- Privacy preservation on time series / Spiros Papadimitriou ... [et al.] -- A segment-based approach to preserve privacy in time series data mining / Yongjian Fu and Ye Zhu -- A survey of challenges and solutions for privacy in clinical genomics data mining / Bradley Malin, Christopher Cassa, and Murat Kantarcioglu -- Privacy-awareness health information sharing / Thomas Trojer ... [et al.] -- Issues with privacy preservation in query log mining / Ricardo Baeza-Yates ... [et al.] -- Preserving privacy in Web recommender systems / Ranieri Baraglia ... [et al.] -- The social Web and privacy : practices, reciprocity and conflict detection in social networks / Seda Gürses and Bettina Berendt -- Privacy protection of personal data in social networks / Barbara Carminati ... [et al.] -- Analyzing private network data / Michael Hay, Gerome Miklau, and David Jensen.
"Covering research at the frontier of this field, Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques presents 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 Discovery presents novel algorithms, patterns, and models, along with a significant collection of open problems for future investigation"--Provided by publisher.
ISBN: 9781439803660 (electronic bk.)Subjects--Topical Terms:
122255
Database security.
Index Terms--Genre/Form:
96803
Electronic books.
LC Class. No.: QA76.9.D314 / P75 2011
Dewey Class. No.: 006.3/12
Privacy-aware knowledge discovery = novel applications and new techniques /
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Anonymity technologies for privacy-preserving data publishing and mining / Anna Monreale, Dino Pedreschi, and Ruggero G. Pensa -- Privacy preservation in the publication of sparse multidimensional data / Manolis Terrovitis, Nikos Mamoulis, and Panos Kalnis -- Knowledge hiding in emerging application domains / Osman Abul -- Condensation-based methods in emerging application domains / Yucel Saygin and Mehmet Ercan Nergiz -- Catch, clean, and release : a survey of obstacles and opportunities for network trace sanitization / Keren Tan ... [et al.] -- Output privacy in stream mining / Ting Wang and Ling Liu -- Privacy issues in spatio-temporal data mining / Aris Gkoulalas-Divanis and Vassilios S. Verykios -- Probabilistic grid-based approaches for privacy-preserving data mining on moving object trajectories / Gyözö Gidófalvi, Xuegang Huang, and Torben Bach Pedersen -- Privacy and anonymity in location data management / Claudio Bettini ... [et al.] -- Privacy preservation on time series / Spiros Papadimitriou ... [et al.] -- A segment-based approach to preserve privacy in time series data mining / Yongjian Fu and Ye Zhu -- A survey of challenges and solutions for privacy in clinical genomics data mining / Bradley Malin, Christopher Cassa, and Murat Kantarcioglu -- Privacy-awareness health information sharing / Thomas Trojer ... [et al.] -- Issues with privacy preservation in query log mining / Ricardo Baeza-Yates ... [et al.] -- Preserving privacy in Web recommender systems / Ranieri Baraglia ... [et al.] -- The social Web and privacy : practices, reciprocity and conflict detection in social networks / Seda Gürses and Bettina Berendt -- Privacy protection of personal data in social networks / Barbara Carminati ... [et al.] -- Analyzing private network data / Michael Hay, Gerome Miklau, and David Jensen.
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"Covering research at the frontier of this field, Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques presents 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 Discovery presents novel algorithms, patterns, and models, along with a significant collection of open problems for future investigation"--Provided by publisher.
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"Covering research at the frontier of this field, Privacy-Aware Knowledge Discovery presents 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. The book focuses on intricate, real-world applications in medicine, biology, the web, social networks, and mobility observation systems"--Provided by publisher.
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