BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

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

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

Microsoft Data Mining: Integrated Business Intelligence for E-Commerce and Knowledge Management Paperback - 2001

by De Ville, Barry,

Add to wish list
  • New
  • Paperback

This guide teaches data mining from the perspective of IT professionals using Microsoft data management and e-commerce technologies. The book explains major new data mining capabilities in the forthcoming SQL Server 2000, Microsoft Commerce Server, and other products, and details the new Microsoft standard, "OLE DB for Data Mining".

New

Description

Paperback. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; Approaches data mining from the perspective of IT professionals using Microsoft data management technologies. This work explains the data mining capabilities in Microsoft's SQL Server 2000 database, Commerce Server, among others. It als
Ask the seller a question Add to wish list
A$131.44
A$15.57 Delivery to USA
Standard delivery: 7 to 12 days
More delivery options
Ships from Ria Christie Collections (Greater London, United Kingdom)

Details

  • Title Microsoft Data Mining: Integrated Business Intelligence for E-Commerce and Knowledge Management
  • Author De Ville, Barry,
  • Binding Paperback
  • Edition 1st edition
  • Condition New
  • Pages 336
  • Volumes 1
  • Language ENG
  • Publisher Digital Press, USA
  • Publication date 2001-04-01
  • Illustrated Yes
  • Features Glossary, Illustrated, Index, Table of Contents
  • Bookseller's Inventory # ria9781555582425_inp
  • ISBN 9781555582425 / 1555582427
  • Weight 1.18 lbs (0.54 kg)
  • Dimensions 9.26 x 7.02 x 0.67 in (23.52 x 17.83 x 1.70 cm)
  • Category Computers - Data Base Management
  • Library of Congress subjects Data mining
  • Library of Congress Catalogue Number 00047514
  • Dewey Decimal Code 006.3
  • Quantity available 480

About Ria Christie Collections Greater London, United Kingdom

Biblio member since 2014

Hello We are professional online booksellers. We sell mostly new books and textbooks and we do our best to provide a competitive price. We are based in Greater London, UK. We pride ourselves by providing a good customer service throughout, shipping the items quickly and replying to customer queries promptly. Ria Christie Collections

Terms of Sale:

30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from Ria Christie Collections

Reader reviews for Microsoft Data Mining: Integrated Business Intelligence for E-Commerce and Knowledge Management

From the publisher

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.

First line

People have been recording and extracting knowledge from data since the beginning of time.

Media reviews

Citations

  • Scitech Book News, 09/01/2001, Page 39
tracking-