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Microsoft data mining : integrated business intelligence for e-Commerce and knowledge management /
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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boston :
Digital Press,
�2001.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a De Ville, Barry. | |
| 245 | 1 | 0 | |a Microsoft data mining : |b integrated business intelligence for e-Commerce and knowledge management / |c Barry de Ville. |
| 260 | |a Boston : |b Digital Press, |c �2001. | ||
| 300 | |a 1 online resource (xx, 315) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 500 | |a Includes index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a 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. | |
| 520 | |a 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. | ||
| 546 | |a English. | ||
| 630 | 0 | 0 | |a OLE (Computer file) |
| 630 | 0 | 0 | |a SQL server. |
| 650 | 0 | |a Data mining. | |
| 650 | 6 | |a Exploration de donn�ees (Informatique) |0 (CaQQLa)201-0300292 | |
| 650 | 7 | |a COMPUTERS |x Enterprise Applications |x Business Intelligence Tools. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Intelligence (AI) & Semantics. |2 bisacsh | |
| 630 | 0 | 7 | |a SQL server. |2 cct |
| 630 | 0 | 7 | |a OLE (Computer file) |2 cct |
| 650 | 0 | 7 | |a Data mining. |2 cct |
| 630 | 0 | 7 | |a OLE (Computer file) |2 fast |0 (OCoLC)fst01383311 |
| 630 | 0 | 7 | |a SQL server. |2 fast |0 (OCoLC)fst01376937 |
| 650 | 7 | |a Data mining. |2 fast |0 (OCoLC)fst00887946 | |
| 650 | 1 | 7 | |a Datamining. |2 gtt |
| 650 | 1 | 7 | |a Microsoft SQL Server. |2 gtt |
| 650 | 1 | 7 | |a Kennismanagement. |2 gtt |
| 776 | 0 | 8 | |i Print version: |a De Ville, Barry. |t Microsoft data mining. |d Boston : Digital Press, �2001 |z 1555582427 |w (DLC) 00047514 |w (OCoLC)45137493 |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9781555582425 |z Texto completo |