| 000 | 03034nam a2200517 a 4500 | ||
|---|---|---|---|
| 001 | vtls000080130 | ||
| 003 | MTX | ||
| 008 | 160715001 001 0 eng d | ||
| 020 | _a9780470277744 | ||
| 020 | _a9780470439296 | ||
| 039 | 9 |
_a201607151158 _bstaff _c201606141507 _dstaff _y201605041237 _zadmin |
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| 041 | 0 | _aeng | |
| 099 | _aEbook | ||
| 100 | 1 |
_aMacLennan, Jamie. _9117872 |
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| 245 | 0 | 0 |
_aData mining with microsoft SQL server 2008 _h[electronic resource] / _cMacLennan, Jamie;Tang, ZhaoHui;Crivat, Bogdan. |
| 260 |
_bWILEY, _c2009. |
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| 300 | _a675 p. | ||
| 505 | 0 |
_gChapter, Lesson, Part _tChapter 1: Introduction to Data Mining in SQL Server 2008. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 2: Applied Data Mining Using Microsoft Excel 2007. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 3: Data Mining Concepts and DMX. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 4: Using SQL Server Data Mining. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 5: Implementing a Data Mining Process Using Office 2007. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 6: Microsoft Naive Bayes. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 7: Microsoft Decision Trees Algorithm. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 8: Microsoft Time Series Algorithm. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 9: Microsoft Clustering. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 10: Microsoft Sequence Clustering. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 11: Microsoft Association Rules. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 12: Microsoft Neural Network and Logistic Regression. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 13: Mining OLAP Cubes. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 14: Data Mining with SQL Server Integration Services. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 15: SQL Server Data Mining Architecture. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 16: Programming SQL Server Data Mining. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 17: Extending SQL Server Data Mining. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 18: Implementing a Web Cross-Selling Application. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 19: Conclusion and Additional Resources. |
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| 505 | 0 | _aCover, 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. | |
| 650 |
_aComputers _920382 |
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| 650 |
_aDatabase management _921145 |
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| 650 |
_aGeneral _918876 |
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| 700 | 1 |
_aTang, ZhaoHui _9117873 |
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| 700 | 1 |
_aCrivat, Bogdan. _9117874 |
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| 856 | 4 | 0 | _uhttp://portal.igpublish.com/iglibrary/search/WILEYB0001679.html |
| 942 | _c10 | ||
| 999 |
_c76679 _d76679 |
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