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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 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)
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Database/SQL SQLite入门与分析
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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 Data Mining Practical Machine Learning Tools and Techniques Second Edition
Posted on 2010-03-17
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As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no alchemy. Instead there is an identifiable body of practical techniques that can extract useful information from raw data. This book describes these techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights for the new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information on neural networks; a new section on Bayesian networks; plus much more. + Authors, Ian Witten and Eibe Frank, recipients of the 2005 ACM SIGKDD Service Award. + Algorithmic methods at the heart of successful data miningincluding tried and true techniques as well as leading edge methods; + Performance improvement techniques that work by transforming the input or output; + Downloadable Weka, a collection of machine learning algorithms for data mining tasks, including tools for data pre-processing, classification, regression, clustering, association rules, and visualizationin a new, interactive interface.
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