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Viac informácií o knihe Privacy-Preserving Data Mining

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Advances in hardware technology have increased the capability to store and record personal data about consumers and individuals, causing 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 contains surveys by distinguished researchers in the privacy field. Each survey includes the key research content as well as future research directions.§Privacy-Preserving Data Mining: Models and Algorithms is designed for researchers, professors, and advanced-level students in computer science, and is also suitable for industry practitioners.

Parametre knihy

Zaradenie knihy Knihy po anglicky Computing & information technology Databases Data mining

• Celý názov: Privacy-Preserving Data Mining
• Podnázov: Models and Algorithms
• Autor: Charu C. Aggarwal, Philip S. Yu
• Jazyk: Angličtina
• Väzba: Pevná
• Počet strán: 514
• EAN: 9780387709918
• ISBN: 0387709916
• ID: 01382414
• Nakladateľ: Springer-Verlag New York Inc.
• Hmotnosť: 860 g
• Rozmery: 242 × 163 × 31 mm
• Dátum vydania: 01. July 2008

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