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...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston :
Digital Press,
©2001.
|
| Schlagworte: | |
| Online-Zugang: | Volltext Volltext |
| Zusammenfassung: | 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. |
| Beschreibung: | Includes index. |
| Beschreibung: | 1 online resource (xx, 315) : illustrations |
| ISBN: | 0585458421 9780585458427 0080491847 9780080491844 9781555582425 1555582427 9786611006983 6611006982 |
Internformat
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| 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. | ||
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| 650 | 0 | |a Data mining. |0 http://id.loc.gov/authorities/subjects/sh97002073 | |
| 650 | 6 | |a Exploration de données (Informatique) | |
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| contents | 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. |
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| discipline | Informatik |
| format | Electronic eBook |
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| indexdate | 2024-11-26T14:48:56Z |
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| spelling | De Ville, Barry. Microsoft data mining : integrated business intelligence for e-Commerce and knowledge management / Barry de Ville. Boston : Digital Press, ©2001. 1 online resource (xx, 315) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes index. Print version record. 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. English. OLE (Computer file) http://id.loc.gov/authorities/names/n95001539 SQL server. http://id.loc.gov/authorities/names/n90684343 SQL server. cct OLE (Computer file) cct OLE (Computer file) fast SQL server fast Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Exploration de données (Informatique) COMPUTERS Enterprise Applications Business Intelligence Tools. bisacsh COMPUTERS Intelligence (AI) & Semantics. bisacsh Data mining. cct Data mining fast Datamining. gtt Microsoft SQL Server. gtt Kennismanagement. gtt has work: Microsoft Data Mining (Text) https://id.oclc.org/worldcat/entity/E39PD3yX4kDrdrHvdJXFhXMmq3 https://id.oclc.org/worldcat/ontology/hasWork Print version: De Ville, Barry. Microsoft data mining. Boston : Digital Press, ©2001 1555582427 (DLC) 00047514 (OCoLC)45137493 FWS01 ZDB-4-EBU FWS_PDA_EBU https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=85982 Volltext FWS01 ZDB-4-EBU FWS_PDA_EBU https://www.sciencedirect.com/science/book/9781555582425 Volltext |
| spellingShingle | De Ville, Barry Microsoft data mining : integrated business intelligence for e-Commerce and knowledge management / 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. OLE (Computer file) http://id.loc.gov/authorities/names/n95001539 SQL server. http://id.loc.gov/authorities/names/n90684343 SQL server. cct OLE (Computer file) cct OLE (Computer file) fast SQL server fast Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Exploration de données (Informatique) COMPUTERS Enterprise Applications Business Intelligence Tools. bisacsh COMPUTERS Intelligence (AI) & Semantics. bisacsh Data mining. cct Data mining fast Datamining. gtt Microsoft SQL Server. gtt Kennismanagement. gtt |
| subject_GND | http://id.loc.gov/authorities/names/n95001539 http://id.loc.gov/authorities/names/n90684343 http://id.loc.gov/authorities/subjects/sh97002073 |
| 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) http://id.loc.gov/authorities/names/n95001539 SQL server. http://id.loc.gov/authorities/names/n90684343 SQL server. cct OLE (Computer file) cct OLE (Computer file) fast SQL server fast Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Exploration de données (Informatique) COMPUTERS Enterprise Applications Business Intelligence Tools. bisacsh COMPUTERS Intelligence (AI) & Semantics. bisacsh Data mining. cct Data mining fast Datamining. gtt Microsoft SQL Server. gtt Kennismanagement. gtt |
| topic_facet | OLE (Computer file) SQL server. SQL server Data mining. Exploration de données (Informatique) COMPUTERS Enterprise Applications Business Intelligence Tools. COMPUTERS Intelligence (AI) & Semantics. Data mining Datamining. Microsoft SQL Server. Kennismanagement. |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=85982 https://www.sciencedirect.com/science/book/9781555582425 |
| work_keys_str_mv | AT devillebarry microsoftdataminingintegratedbusinessintelligenceforecommerceandknowledgemanagement |