Publications
From: Chris Nolin Chris.Nolin@bhusa.com
Date: Tue, 22 May 2001 11:36:52 -0400
Subject: New Book: Microsoft Data Mining: Integrated Business Intelligence for e-Commerce and Knowledge Management
Summary: This book approaches data mining from the perspective of
IT professionals. 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.
Microsoft Data Mining
Integrated Business Intelligence for e-Commerce and Knowledge Management
http://www.bhusa.com/bookscat/links/details.asp?isbn=1555582427
by Barry de Ville
Data mining pioneer and consultant with the SAS Institute. Author of
many articles on data analysis, editorial board member for the journal
Marketing Research
- 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
- Covers new Microsoft data mining products and technologies
Microsoft Data Mining approaches data mining from particular the
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.
CONTENTS: The Big Picture: Data Mining's Benefits, History, and
Limitations; Data Mining Tools and Techniques and the Microsoft Data
Mining Arsenal: Windows DNA 2000, OLE DB for DM, Data Mining Models,
ADO, SQL Server Data Mining Extensions; The Data Mining Process:
Business Objective Understanding; Managing the Data Mining Project:
Preparing the Data for Analysis; Modeling, Testing and Validation;
Results Deployment
READERSHIP: Professional data analysts; DBAs, senior marketing
managers, electronic direct marketing specialists; SQL Server
programmers, administrators, and system designers
ISBN 1555582427 : 464pp : Paperback : February 2001 : US$39.95
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