Data Mining with Microsoft® SQL Server® 2008

Acknowledgments

First of all we would like to acknowledge the help from our data mining team members and other colleagues in the Microsoft SQL Server Business Intelligence (BI) organization. In addition to creating the best data mining package on the planet, most of them gave up some of their free time to review the text and sample code. Direct thanks go to Shuvro Mitra, Raman Iyer, Dana Cristofor, Jeanine Nelson-Takaki, and Niketan Pansare for helping review our text to ensure that it makes sense and that our samples work. Thanks also to the rest of the data mining team, including Donald Farmer, Tatyana Yakushev, Yimin Wu, Fernando Godinez Delgado, Gang Xiao, Liu Tang, and Bo Simmons for building such a great product. In addition, we would like to thank the SQL BI management of Kamal Hathi and Tom Casey for supporting data mining in SQL Server.

SQL Server 2008 Data Mining (including the Data Mining Add-Ins) is a product jointly developed by the SQL Server Analysis Services team and other teams inside Microsoft. We would like to thank colleagues from Excel — notably Rob Collie, Howie Dickerman, and Dan Battagin, whose valuable input into the design of the Data Mining Add-Ins guaranteed their success. Also thanks to those in the Machine Learning and Applied Statistics (MLAS) Group, headed by Research Manager David Heckerman, who continue to advise us on deep algorithmic issues in our product. We would like to thank David Heckerman, Jesper Lind, Alexei Bocharov, Chris Meek, Bo Thiesson, ...