Microsoft Data Mining: Integrated Business Intelligence for e-Commerce and Knowledge Management

eBook Information

Microsoft Data Mining: Integrated Business Intelligence for e-Commerce and Knowledge Management ISBN  1555582427 Release Date  20 April 2001 Category  Data Mining Tags  "business intelligence",   mining,   microsoft,   e-commerce,   This book @Amazon  View Tools Google Search Web flazx.com

Description 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. Unique book on a hot data management topic Part of Digital Press's SQL Server and data mining clusters Author is an expert on both traditional and Microsoft data mining technologies Other books on Data Mining Innovative Applications in Data Mining (Studies in Computational Intelligence) Data Mining and Applications in Genomics (Lecture Notes in Electrical Engineering) Data Mining for Business Applications Mathematical Tools for Data Mining: Set Theory, Partial Orders, Combinatorics (Advanced Information and Knowledge Processing) Visual Data Mining: Theory, Techniques and Tools for Visual Analytics (Lecture Notes in Computer Science) Privacy-Preserving Data Mining: Models and Algorithms (Advances in Database Systems) Fuzzy Modeling Tools for Data Mining and Knowledge Discovery (The Morgan Kaufmann Series in Data Management Systems) Advanced Data Mining Techniques Recent Advances In Data Mining Of Enterprise Data: Algorithms and Applications (Series on Computers and Operations Research) (Series on Computers and Operations ... on Computers and Operations Research) Data Mining and Knowledge Discovery Technologies (Advances in Data Warehousing and Mining) Mobility, Data Mining and Privacy: Geographic Knowledge Discovery Survey of Text Mining II: Clustering, Classification, and Retrieval Emerging Technologies of Text Mining: Techniques and Applications Data Mining Patterns: New Methods and Applications Data Mining With Ontologies: Implementations, Findings and Frameworks (Premier Reference)