Data mining with Microsoft SQL server 2008

Understand how to use the new features of Microsoft SQL Server 2008 for data mining by using the tools in Data Mining with Microsoft SQL Server 2008, which will show you how to use the SQL Server Data Mining Toolset with Office 2007 to mine and analyze data. Explore each of the major data mining alg...

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Bibliographic Details
Main Author: MacLennan, Jamie (-)
Other Authors: Crivat, Bogdan, Tang, Zhaohui
Format: eBook
Language:Inglés
Published: Indianapolis, IN : Wiley Pub c2008.
Edition:1st edition
Subjects:
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627374506719
Table of Contents:
  • Data Mining with Microsoft® SQL Server® 2008; About the Authors; Credits; Acknowledgments; Contents at a Glance; Contents; Foreword; Introduction; Chapter 1: Introduction to Data Mining in SQL Server 2008; Chapter 2: Applied Data Mining Using Microsoft Excel 2007; Chapter 3: Data Mining Concepts and DMX; Chapter 4: Using SQL Server Data Mining; Chapter 5: Implementing a Data Mining Process Using Office 2007; Chapter 6: Microsoft Naive Bayes; Chapter 7: Microsoft Decision Trees Algorithm; Chapter 8: Microsoft Time Series Algorithm; Chapter 9: Microsoft Clustering
  • Chapter 10: Microsoft Sequence ClusteringChapter 11: Microsoft Association Rules; Chapter 12: Microsoft Neural Network and Logistic Regression; Chapter 13: Mining OLAP Cubes; Chapter 14: Data Mining with SQL Server Integration Services; Chapter 15: SQL Server Data Mining Architecture; Chapter 16: Programming SQL Server Data Mining; Chapter 17: Extending SQL Server Data Mining; Chapter 18: Implementing a Web Cross-Selling Application; Chapter 19: Conclusion and Additional Resources; Appendix A: Data Sets; Appendix B: Supported Functions; Index