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Database/SQL Database Modeling and Design, Fifth Edition: Logical Design, 5 edition
Database/SQL BusinessObjects: The Complete Reference
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Database/SQL SQL Server 数据库设计与实现
Database/SQL BusinessObjects: The Complete Reference
Database/SQL Free 15000000 ebooks,softwares,movies,wallpapers free download
Database/SQL Using SQLite
Database/SQL Professional SQL Server 2005 Reporting Services By Paul Turley
Database/SQL Microsoft(R) SQL Server(R) 2008 Administrator's Pocket Consultant
Database/SQL Rick Greenwald, "Beginning Oracle Application Express (Wrox Programmer to Programmer)"
Database/SQL 网页数据库整合精华录
Database/SQL Oracle 数据库培训手册—DBA
Database/SQL 数据库开发这点事(新)
Database/SQL SQLite数据库文件格式全面分析
Database/SQL SQLite入门与分析
Database/SQL SQLite权威指南
Database/SQL sqlite3使用详解
Database/SQL visual basic+sql server数据库应用开发
Database/SQL Microsoft Access Developer's Guide to SQL Server [Paperback]
Database/SQL Microsoft Access Developer\'s Guide to SQL Server
Database/SQL 数据库系统基础教程
Database/SQL SQL语言艺术
Database/SQL SQL Server 数据库设计与实现
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Database/SQL Privacy Preserving Data Mining: Models and Algorithms
Posted on 2010-03-27
|
Springer | 2008-06-20 | ISBN: 0387709916 | 535 pages | PDF | 4 MB 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.
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