Data Mining: Know It All
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Channel Data Warehouse Sql Language ACCESS FileMaker Data Mining Database Design Database General MySql Oracle SQL Server 2005 SQL Server 2008 DB2 Sql Server Windows 2003 Windows Server 2008 Linux Windows Unix Windows Vista OS General Flash Flex 3D Animation PhotoShop SCM Project Software Test Object Oriented MDA CMM CMMI ISO UML Service Oriented Patterns Extreme Programming Requirement Aspect Oriented Six Sigma Excel SAP Google Apple Exchange Server VPN Wireless IPv6 VoIP Mobile C C++ Spring Ado.Net Programming General Dot Net COM DCOM Vb Vb.Net C# CSharp Hibernate Java Delphi Eclipse Swing J2ME DirectX Algorithms OpenGL Visual Studio Web Services J2EE Crystal Reports JDBC WebLogic Grid Computing WPF Jakarta DreamWeaver Apache Asp Web Design Adobe AIR Web General Asp.Net HTML JSP Java Script SharePoint VBScript Ajax Python Ruby Perl CSS XML XSLT PHP Game Programming Game General Data Mining: Know It All
The proposed book expertly combines the finest data mining material from the Morgan Kaufmann portfolio. Individual chapters are derived from a select group of MK books authored by the best and brightest in the field. These chapters are combined into one comprehensive volume in a way that allows it to be used as a reference work for those interested in new and developing aspects of data mining.
This book represents a quick and efficient way to unite valuable content from leading data mining experts, thereby creating a definitive, one-stop-shopping opportunity for customers to receive the information they would otherwise need to round up from separate sources.
* Chapters contributed by various recognized experts in the field let the reader remain up to date and fully informed from multiple viewpoints.
* Presents multiple methods of analysis and algorithmic problem-solving techniques, enhancing the reader's technical expertise and ability to implement practical solutions.
* Coverage of both theory and practice brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases.
http://rapidshare.com/files/231598630/0123746299.rar
http://depositfiles.com/files/7y7j45vj9
[LanguageEnglish ] [Channel:Data Mining ]
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This book brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory and advanced topics, thereby covering the gamut of data mining and machine learning tactics ? from data integration and pre-processing, to fundamental algorithms, to optimization techniques and web mining methodology. The proposed book expertly combines the finest data mining material from the Morgan Kaufmann portfolio. Individual chapters are derived from a select group of MK books authored by the best and brightest in the field. These chapters are combined into one comprehensive volume in a way that allows it to be used as a reference work for those interested in new and developing aspects of data mining.
This book represents a quick and efficient way to unite valuable content from leading data mining experts, thereby creating a definitive, one-stop-shopping opportunity for customers to receive the information they would otherwise need to round up from separate sources.
* Chapters contributed by various recognized experts in the field let the reader remain up to date and fully informed from multiple viewpoints.
* Presents multiple methods of analysis and algorithmic problem-solving techniques, enhancing the reader's technical expertise and ability to implement practical solutions.
* Coverage of both theory and practice brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases.
http://rapidshare.com/files/231598630/0123746299.rar
http://depositfiles.com/files/7y7j45vj9
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