Microsoft data mining: integrated business intelligence for e-Commerce and knowledge management
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Boston
Digital Press
©2001
|
| Subjects: | |
| Online Access: | Volltext |
| Item Description: | Includes index Front Cover; Microsoft Data Mining; Copyright Page; Contents; Foreword; Preface; Acknowledgments; Chapter 1. Introduction to Data Mining; Chapter 2. The Data Mining Process; Chapter 3. Data Mining Tools and Techniques; Chapter 4. Managing the Data Mining Project; Capter 5. Modeling Data; Chapter 6. Deploying the Results; Chapter 7. The Discovery and Delivery of Knowledge for Effective Enterprise Outcomes: Knowledge Management; Appendix A: Glossary; Appendix B: References; Appendix C: Web Sites; Appendix D: Data Mining and Knowledge Discovery Data Sets in the Public Domain Microsoft Data Mining approaches data mining from the particular perspective of IT professionals using Microsoft data management technologies. The author explains the new data mining capabilities in Microsoft's SQL Server 2000 database, Commerce Server, and other products, details the Microsoft OLE DB for Data Mining standard, and gives readers best practices for using all of them. The book bridges the previously specialized field of data mining with the new technologies and methods that are quickly making it an important mainstream tool for companies of all sizes. Data mining refers to a set |
| Physical Description: | 1 Online-Ressource (xx, 315) |
| ISBN: | 0585458421 9780585458427 0080491847 9780080491844 9781555582425 1555582427 |
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| spelling | De Ville, Barry Verfasser aut Microsoft data mining integrated business intelligence for e-Commerce and knowledge management Barry de Ville Boston Digital Press ©2001 1 Online-Ressource (xx, 315) txt rdacontent c rdamedia cr rdacarrier Includes index Front Cover; Microsoft Data Mining; Copyright Page; Contents; Foreword; Preface; Acknowledgments; Chapter 1. Introduction to Data Mining; Chapter 2. The Data Mining Process; Chapter 3. Data Mining Tools and Techniques; Chapter 4. Managing the Data Mining Project; Capter 5. Modeling Data; Chapter 6. Deploying the Results; Chapter 7. The Discovery and Delivery of Knowledge for Effective Enterprise Outcomes: Knowledge Management; Appendix A: Glossary; Appendix B: References; Appendix C: Web Sites; Appendix D: Data Mining and Knowledge Discovery Data Sets in the Public Domain Microsoft Data Mining approaches data mining from the particular perspective of IT professionals using Microsoft data management technologies. The author explains the new data mining capabilities in Microsoft's SQL Server 2000 database, Commerce Server, and other products, details the Microsoft OLE DB for Data Mining standard, and gives readers best practices for using all of them. The book bridges the previously specialized field of data mining with the new technologies and methods that are quickly making it an important mainstream tool for companies of all sizes. Data mining refers to a set OLE (Computer file) SQL server COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh OLE (Computer file) fast SQL server fast Data mining fast Datamining gtt Microsoft SQL Server gtt Kennismanagement gtt Data mining Data Mining (DE-588)4428654-5 gnd rswk-swf 1\p (DE-588)4151278-9 Einführung gnd-content Data Mining (DE-588)4428654-5 s 2\p DE-604 http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=85982 Aggregator Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | De Ville, Barry Microsoft data mining integrated business intelligence for e-Commerce and knowledge management OLE (Computer file) SQL server COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh OLE (Computer file) fast SQL server fast Data mining fast Datamining gtt Microsoft SQL Server gtt Kennismanagement gtt Data mining Data Mining (DE-588)4428654-5 gnd |
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| title | Microsoft data mining integrated business intelligence for e-Commerce and knowledge management |
| title_auth | Microsoft data mining integrated business intelligence for e-Commerce and knowledge management |
| title_exact_search | Microsoft data mining integrated business intelligence for e-Commerce and knowledge management |
| title_full | Microsoft data mining integrated business intelligence for e-Commerce and knowledge management Barry de Ville |
| title_fullStr | Microsoft data mining integrated business intelligence for e-Commerce and knowledge management Barry de Ville |
| title_full_unstemmed | Microsoft data mining integrated business intelligence for e-Commerce and knowledge management Barry de Ville |
| title_short | Microsoft data mining |
| title_sort | microsoft data mining integrated business intelligence for e commerce and knowledge management |
| title_sub | integrated business intelligence for e-Commerce and knowledge management |
| topic | OLE (Computer file) SQL server COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh OLE (Computer file) fast SQL server fast Data mining fast Datamining gtt Microsoft SQL Server gtt Kennismanagement gtt Data mining Data Mining (DE-588)4428654-5 gnd |
| topic_facet | OLE (Computer file) SQL server COMPUTERS / Enterprise Applications / Business Intelligence Tools COMPUTERS / Intelligence (AI) & Semantics Data mining Datamining Microsoft SQL Server Kennismanagement Data Mining Einführung |
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