Data Mining with SQL Server 2005
Zhao Hui Tang, Jamie Maclennan · 2005
About the Authors. 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 Naive 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.