Microsoft Data Mining

Microsoft Data Mining
Author: Barry de Ville
Publisher: Digital Press
Total Pages: 344
Release: 2001-05
Genre: Computers
ISBN: 9781555582425

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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".


Microsoft Data Mining
Language: en
Pages: 344
Authors: Barry de Ville
Categories: Computers
Type: BOOK - Published: 2001-05 - Publisher: Digital Press

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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 with Microsoft SQL Server 2008
Language: en
Pages: 14
Authors: Jamie MacLennan
Categories: Computers
Type: BOOK - Published: 2011-03-10 - Publisher: John Wiley & Sons

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Eine praxisorientierte Einführung in das Data Mining Toolset des SQL Server 2008 und die neuen Data Mining Add-Ins für Office 2007. Enthält detaillierte Erl�
Data Mining for Business Analytics
Language: en
Pages: 608
Authors: Galit Shmueli
Categories: Mathematics
Type: BOOK - Published: 2019-10-14 - Publisher: John Wiley & Sons

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Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Pyt
Implementing Data Mining Algorithms in Microsoft SQL Server
Language: en
Pages: 161
Authors: Claudio Luiz Curotto
Categories: Computers
Type: BOOK - Published: 2005 - Publisher: WIT Press

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"All source codes, as well as data sets used in computational experiments, are included in the accompanying CD-ROM." -- p. [xv]
Data Mining with Microsoft SQL Server 2000
Language: en
Pages: 0
Authors: Claude Seidman
Categories: Data mining
Type: BOOK - Published: 2001 - Publisher:

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The amount of information stored in corporate databases is exploding exponentially. Data mining--finding meaningful patterns in all that data--can give any orga