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Więcej informacji o Privacy-Preserving Data Mining

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Opis

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.

Szczegóły książki

Kategoria Książki po angielsku Computing & information technology Databases Data mining

• Pełny tytuł: Privacy-Preserving Data Mining
• Podtytuł: Models and Algorithms
• Autor: Charu C. Aggarwal, Philip S. Yu
• Język: Angielski
• Oprawa: Twarda
• Liczba stron: 514
• EAN: 9780387709918
• ISBN: 0387709916
• ID: 01382414
• Wydawca: Springer-Verlag New York Inc.
• Waga: 860 g
• Wymiary: 242 × 163 × 31 mm
• Data wydania: 01. July 2008

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