Microsoft Data Mining: Integrated Business Intelligence for e-Commerce and Knowledge Management
Language: English
Published by Digital Press, 2001
- Softcover
- New
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- Title
- Microsoft Data Mining: Integrated Business Intelligence for e-Commerce and Knowledge Management
- Author
- De Ville, Barry
- Publisher
- Digital Press
- Publication year
- 2001
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1555582427
- ISBN 13
- 9781555582425
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 of technologies and techniques by which IT professionals search large databases of information (such as those contained by SQL Server) for patterns and trends. Traditionally important in finance, telecommunication, and other information-intensive fields, data mining increasingly helps companies better understand and serve their customers by revealing buying patterns and related interests. It is becoming a foundation for e-commerce and knowledge management.
Data mining refers to a set of technologies and techniques by which IT professionals search large databases of information (such as those contained by SQL Server) for patterns and trends. Traditionally important in finance, telecommunication, and other information-intensive fields, data mining increasingly helps companies better understand and serve their customers by revealing buying patterns and related interests. It is becoming a foundation for e-commerce and knowledge management.
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About the Author
PhD, Data mining pioneer and consultant with the SAS Institute. Author of many articles on data analysis, editorial board member for the journal Marketing Research
"About the title" may belong to another edition of this title.
Ria Christie Collections
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