Privacy-Aware Knowledge Discovery
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Covering research at the frontier of this field, this volume presents state-of-the-art privacy-preserving data mining techniques for application domains, such as medicine and social networks, which face the increasing heterogeneity and complexity of new forms of data. Renowned authorities from prominent organizations cover well-established results as well as 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.…mehr

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Produktbeschreibung
Covering research at the frontier of this field, this volume presents state-of-the-art privacy-preserving data mining techniques for application domains, such as medicine and social networks, which face the increasing heterogeneity and complexity of new forms of data. Renowned authorities from prominent organizations cover well-established results as well as 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.
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Autorenporträt
Francesco Bonchi is 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 program co-chair of the first and second ACM SIGKDD International Workshop on Privacy, Security, and Trust in KDD (PinKDD 2007 and 2008), the first IEEE International Workshop on Privacy Aspects of Data Mining (PADM 2006), and the fourth International Workshop on Knowledge Discovery in Inductive Databases (KDID 2005). He earned his Ph.D. in computer science from the University of Pisa. Elena Ferrari is a professor of computer science at the University of Insubria in Italy, where she heads the Database & Web Security Group. In 2009, Dr. Ferrari received the IEEE Computer Society's prestigious Technical Achievement Award for "outstanding and innovative contributions to secure data management." She has served as program co-chair of the third IFIP WG 11.11 International Conference on Trust Management (IFIPTM 2009), PinKDD 2007 and 2008, the fourth ACM Symposium on Access Control Models and Technologies (SACMAT 2004), and the first Workshop on Web Security and Semantic Web at COMPSAC 2002. She earned her Ph.D. in computer science from the University of Milano. Check out Dr. Ferrari's interview with the IEEE Computer Society.