Data Mining with SQL Server 2005ISBN: 978-0-471-46261-3
Paperback
480 pages
October 2005
 This title is out-of-print and not currently available for purchase from this site.
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Credits.
Foreword.
Chapter 1: Introduction to Data Mining.
Chapter 2: OLE DB for Data Mining.
Chapter 3: Using SQL Server Data Mining.
Chapter 4: Microsoft Naïve Bayes.
Chapter 5: Microsoft Decision Trees.
Chapter 6: Microsoft Time Series.
Chapter 7: Microsoft Clustering.
Chapter 8: Microsoft Sequence Clustering.
Chapter 9: Microsoft Association Rules.
Chapter 10: Microsoft Neural Network.
Chapter 11: Mining OLAP Cubes.
Chapter 12: Data Mining with SQL Server Integration Services.
Chapter 13: SQL Server Data Mining Architecture.
Chapter 14: Programming SQL Server Data Mining.
Chapter 15: Implementing a Web Cross-Selling Application.
Chapter 16: Advanced Forecasting Using Microsoft Excel.
Chapter 17: Extending SQL Server Data Mining.
Chapter 18: Conclusion and Additional Resources.
Appendix A: Importing Datasets.
Appendix B: Supported VBA and Excel Functions.
Index.
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