Implementing Data Mining Algorithms in Microsoft SQL Server
Seiten
2005
|
Illustrated edition
WIT Press
978-1-84564-037-8 (ISBN)
WIT Press
978-1-84564-037-8 (ISBN)
Designed for use by data mining researchers and information technology workers, this book covers the practicalities required to integrate a third-party data mining algorithm into SQL Server 2000. It also serves as a useful text for IT master and doctorate courses.
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.
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.
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
Erscheint lt. Verlag | 31.3.2005 |
---|---|
Reihe/Serie | Advances in Management Information |
Zusatzinfo | illustrations |
Verlagsort | Southampton |
Sprache | englisch |
Maße | 155 x 230 mm |
Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
ISBN-10 | 1-84564-037-3 / 1845640373 |
ISBN-13 | 978-1-84564-037-8 / 9781845640378 |
Zustand | Neuware |
Haben Sie eine Frage zum Produkt? |