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Data mining with microsoft SQL server 2008 [electronic resource] / MacLennan, Jamie;Tang, ZhaoHui;Crivat, Bogdan.

By: Call Number: Ebook Contributor(s): Material type: TextLanguage: English Publication details: WILEY, 2009.Description: 675 pISBN:
  • 9780470277744
  • 9780470439296
Subject(s): Online resources:
Contents:
Chapter, Lesson, Part Chapter 1: Introduction to Data Mining in SQL Server 2008.
Chapter, Lesson, Part Chapter 2: Applied Data Mining Using Microsoft Excel 2007.
Chapter, Lesson, Part Chapter 3: Data Mining Concepts and DMX.
Chapter, Lesson, Part Chapter 4: Using SQL Server Data Mining.
Chapter, Lesson, Part Chapter 5: Implementing a Data Mining Process Using Office 2007.
Chapter, Lesson, Part Chapter 6: Microsoft Naive Bayes.
Chapter, Lesson, Part Chapter 7: Microsoft Decision Trees Algorithm.
Chapter, Lesson, Part Chapter 8: Microsoft Time Series Algorithm.
Chapter, Lesson, Part Chapter 9: Microsoft Clustering.
Chapter, Lesson, Part Chapter 10: Microsoft Sequence Clustering.
Chapter, Lesson, Part Chapter 11: Microsoft Association Rules.
Chapter, Lesson, Part Chapter 12: Microsoft Neural Network and Logistic Regression.
Chapter, Lesson, Part Chapter 13: Mining OLAP Cubes.
Chapter, Lesson, Part Chapter 14: Data Mining with SQL Server Integration Services.
Chapter, Lesson, Part Chapter 15: SQL Server Data Mining Architecture.
Chapter, Lesson, Part Chapter 16: Programming SQL Server Data Mining.
Chapter, Lesson, Part Chapter 17: Extending SQL Server Data Mining.
Chapter, Lesson, Part Chapter 18: Implementing a Web Cross-Selling Application.
Chapter, Lesson, Part Chapter 19: Conclusion and Additional Resources.
Cover, Title,Data mining with microsoft SQL server 2008--Preface, Introduction, TOC,About the Authors--Preface, Introduction, TOC,Credits--Preface, Introduction, TOC,Acknowledgments--Preface, Introduction, TOC,Contents at a Glance--Preface, Introduction, TOC,Contents--Preface, Introduction, TOC,Foreword--Preface, Introduction, TOC,Introduction--References, Appendix, Index,Appendix A: Data Sets--References, Appendix, Index,Appendix B: Supported Functions--References, Appendix, Index,Index.
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Chapter, Lesson, Part Chapter 1: Introduction to Data Mining in SQL Server 2008.

Chapter, Lesson, Part Chapter 2: Applied Data Mining Using Microsoft Excel 2007.

Chapter, Lesson, Part Chapter 3: Data Mining Concepts and DMX.

Chapter, Lesson, Part Chapter 4: Using SQL Server Data Mining.

Chapter, Lesson, Part Chapter 5: Implementing a Data Mining Process Using Office 2007.

Chapter, Lesson, Part Chapter 6: Microsoft Naive Bayes.

Chapter, Lesson, Part Chapter 7: Microsoft Decision Trees Algorithm.

Chapter, Lesson, Part Chapter 8: Microsoft Time Series Algorithm.

Chapter, Lesson, Part Chapter 9: Microsoft Clustering.

Chapter, Lesson, Part Chapter 10: Microsoft Sequence Clustering.

Chapter, Lesson, Part Chapter 11: Microsoft Association Rules.

Chapter, Lesson, Part Chapter 12: Microsoft Neural Network and Logistic Regression.

Chapter, Lesson, Part Chapter 13: Mining OLAP Cubes.

Chapter, Lesson, Part Chapter 14: Data Mining with SQL Server Integration Services.

Chapter, Lesson, Part Chapter 15: SQL Server Data Mining Architecture.

Chapter, Lesson, Part Chapter 16: Programming SQL Server Data Mining.

Chapter, Lesson, Part Chapter 17: Extending SQL Server Data Mining.

Chapter, Lesson, Part Chapter 18: Implementing a Web Cross-Selling Application.

Chapter, Lesson, Part Chapter 19: Conclusion and Additional Resources.

Cover, Title,Data mining with microsoft SQL server 2008--Preface, Introduction, TOC,About the Authors--Preface, Introduction, TOC,Credits--Preface, Introduction, TOC,Acknowledgments--Preface, Introduction, TOC,Contents at a Glance--Preface, Introduction, TOC,Contents--Preface, Introduction, TOC,Foreword--Preface, Introduction, TOC,Introduction--References, Appendix, Index,Appendix A: Data Sets--References, Appendix, Index,Appendix B: Supported Functions--References, Appendix, Index,Index.

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