数据挖掘方面的几本书下载和在线阅读
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The Handbook Of Data Mining
Nong Ye; Lawrence Erlbaum Associates, 2003.
Data Mining - Concepts and Techniques
1st Edition
Jiawei Han and Micheline Kamber
下载(英文版) 下载(中文版)
Data Mining with SQL Server 2005
ZhaoHui Tang and Jamie MacLennan
Concealed inside your data warehouse and data marts is a wealth of valuable information just waiting to be discovered. All you need are the right tools to extract that information and put it to use. Serving as your expert guide, this book shows you how to create and implement data mining applications that will find the hidden patterns from your historical datasets. The authors explore the core concepts of data mining as well as the latest trends. They then reveal the best practices in the field, utilizing the innovative features of SQL Server 2005 so that you can begin building your own successful data mining projects.
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Nong Ye; Lawrence Erlbaum Associates, 2003.
This handbook will be a valuable reference in the library of the human factors analyst with advanced statistical and analytic skills. The coverage is comprehensive and state-of-the-art by leading experts in data mining. The handbook is a tool kit to be consulted and referenced in the decision to conduct and plan a data-mining effort.
—Ergonomics in Design
Data Mining - Concepts and Techniques
1st Edition
Jiawei Han and Micheline Kamber
下载(英文版) 下载(中文版)
Data Mining with SQL Server 2005
ZhaoHui Tang and Jamie MacLennan
Concealed inside your data warehouse and data marts is a wealth of valuable information just waiting to be discovered. All you need are the right tools to extract that information and put it to use. Serving as your expert guide, this book shows you how to create and implement data mining applications that will find the hidden patterns from your historical datasets. The authors explore the core concepts of data mining as well as the latest trends. They then reveal the best practices in the field, utilizing the innovative features of SQL Server 2005 so that you can begin building your own successful data mining projects.
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