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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.
Jamie MacLennan is the Development Lead for the Data Mining Engine in SQL Server. He has been designing and implementing data mining functionality in collaboration with Microsoft Research since he joined Microsoft in 1999. In addition to developing the product, he regularly speaks on data mining at conferences worldwide, writes papers and articles about SQL Server Data Mining, and maintains data mining community sites. Prior to joining Microsoft, Jamie worked at Landmark Graphics, Inc. (division of Halliburton) on oil & gas exploration software and at Micrografx, Inc. on flowcharting and presentation graphics software. He studied undergraduate computer science at Cornell University.
I love this book! If you like data or data intelligence or modeling, then I would definitely recommend this book! Read morePublished on October 29, 2011 by _NOP;
This book was very poorly written. Some examples are marred by errors. Others are so poorly described as to be virtually useless. Read morePublished on January 25, 2011 by Harold M. Martin
1) The book uses many examples based on the AllElectronics database. However, the book does not provide the AllElectronics database. Read morePublished on April 5, 2008 by Anhnhat Tran
I bought this book specifically to gain insight into the output I've gotten from using a couple of the data mining algorithms; unfortunately, there's even less on output... Read morePublished on March 7, 2008 by FrankBooth
I have only recently started to get involved with Data Mining. I have been doing back end work with Analysis Services for a couple of years and we're ready to move on to the next... Read morePublished on October 4, 2007 by Michelle McCabe
I was really impressed with this book. It had a great introduction to demystify the typic of data mining. Read morePublished on May 21, 2007 by Brian Knight
I BOUGHT THIS BOOK HOPING IT WOULD GIVE ME SOME INSIGHT AND BACKGROUND TO BEGIN USING 2005, AND IT DID JUST THAT. Read morePublished on May 15, 2006 by John C. Harris
This is a great data mining book for database developers/DBAs, especially for those who are using SQL Server database. Read morePublished on February 1, 2006 by Michel B
I wouldn't normally review my own book, but I think the previous reviewer missed the point. This book is clearly about data mining in the context of the features of SQL Server... Read morePublished on February 1, 2006 by C. J. Maclennan