Introduction to Privacy-Preserving Data Publishing - Concepts and Techniques

Informationen zum Autor Benjamin C. M. Fung is an assistant professor in the Concordia Institute for Information Systems Engineering at Concordia University in Montreal, Quebec. Dr. Fung is also a research scientist and the treasurer of the National Cyber-Forensics and Training Alliance Canada (NCFTA Canada). Ke Wang is a professor in the School of Computing Science at Simon Fraser University in Burnaby, British Columbia. Ada Wai-Chee Fu is an associate professor in the Department of Computer Science and Engineering at the Chinese University of Hong Kong. Philip S. Yu is a professor in the Department of Computer Science and the Wexler Chair in Information and Technology at the University of Illinois at Chicago. Klappentext "Introduction to Privacy-Preserving Data Publishing" presents state-of-the-art information sharing and data integration methods that take into account privacy and data mining requirements. Zusammenfassung Offers the methods and tools for publishing useful information while preserving data privacy. This title presents a comprehensive review of the literature in privacy-preserving data publishing (PPDP), clarifying the differences between PPDP and other related research areas, and discusses the assumptions and desirable properties for PPDP. Inhaltsverzeichnis The Fundamentals. Anonymization for Data Mining. Extended Data Publishing Scenarios. Anonymizing Complex Data. References.

Dettagli sul prodotto

• Autori: Ada Wai-Chee Fu, Ada Wai-Chee (Chinese University of Hong Kong Fu, Fu Ada Wai-Chee, Benjamin C M Fung, Benjamin C. M. Fung, Benjamin C.M. Fung, Benjamin C.m. (Mcgill University Fung, Benjamin C.m. Wang Fung, Fung Benjamin C.M., Ke Wang, Ke (Simon Fraser University Wang, Wang Ke, Philip S. Yu, Philip S. (University of Illinois at Chicago Yu, Yu Philip S.
• Editore: Taylor & Francis Ltd.
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 02.08.2010
• EAN: 9781420091489
• ISBN: 978-1-4200-9148-9
• Pagine: 376
• Serie: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series; Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
• Categorie: Guide e manuali; Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica; COMPUTERS / Security / General, COMPUTERS / Programming / Games, computer science, Computer security, Legal aspects of IT, Databases, COMPUTERS / Data Science / Data Analytics, Digital and information technologies: Legal aspects, COMPUTERS / Database Administration & Management