
Implementing Data Mining Algorithms in Microsoft SQL Server
WIT Press
Published on 31. March 2005
Book
Mixed media product
176 pages
978-1-84564-037-8 (ISBN)
Description
Data mining technology is growing rapidly and, in many industries, has become commonplace. The main reasons for this are advances in computer technology that acquire, store and retrieve enormous amounts of data about everything from everywhere. In 2000, Microsoft introduced a data mining feature in their Microsoft [Registered] SQL Server' 2000 Analysis Services. This book covers all the practicalities required to integrate a third-party data mining algorithm into SQL Server 2000. This book is designed for use by data mining researchers and information technology workers. It will also be an ideal text for IT master and doctorate courses.
More details
Series
Edition
Illustrated edition
Language
English
Place of publication
Southampton
United Kingdom
Target group
Professional and scholarly
Edition type
Illustrated edition
Illustrations
illustrations
Dimensions
Height: 230 mm
Width: 155 mm
ISBN-13
978-1-84564-037-8 (9781845640378)
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Schweitzer Classification
Content
Chapter 1: Data mining technology overview The importance of data mining technology; Multidisciplinary aspects; The KDD process; Data preparation; Database aspects; Frequent approaches; Existing tools; Research activities; Applications; The future Chapter 2: Tools Hardware; Software Chapter 3: OLE DB for DM technology Universal data access architecture; OLE DB for DM specification Chapter 4: Implementation of DMclcMine The SNBi classifier; The clcMine data mining provider Chapter 5: Experimental results Waveform recognition problem; Meteorological data; Life insurance data; Performance study; Conclusions