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 October 1, 2014  



Microsoft Data Mining Books

 
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AMO Lets You Dig Deeper into Your Data from Your Own Applications
Liu Tang and Paul Bradley show you how to put together your a data mining application that programmatically creates a mining model and related objects using the AMO object model.
 
Microsoft Denmark's "Momentum" Magazine Article on SQL Server 2005 Data Mining
This is a translation of an article on SQL Server 2005 Data Mining scheduled to appear in the May 2005 issue of Microsoft Denmark's "Momentum" magazine.
 
SQL Server 2000 DM FAQ

Frequently asked questions and answers for SQL Server 2000 Data Mining

 
Plugging Into SQL Server Data Mining

This article provides a high-level overview and describes the benefits of the extensibility framework in SQL Server 2005 Data Mining that allows independent software developers to easily integrate new data mining algorithms into the product.

 
Mining The Flow
Jamie MacLennan's article on DM in the SSIS pipeline
 
Building Data Mining Solutions with OLE DB for DM and XML for Analysis
This article, published in the June 2005 issue of SIGMOD Record, provides an overview of SQL Server Data Mining from a standards perspective.
 
SQL Server 2005: Bringing Data Mining to the Mainstream
This is a translation of an article on SQL Server 2005 Data Mining scheduled to appear in the May 2005 issue of Microsoft Denmark's "Momentum" magazine.
 
Microsoft Brings Software Know-How To HIV Research
Some of the graphical-modeling capabilities being applied to medical research will ship with its SQL Server 2005 database later this year.
 
Data Mining Reloaded
This SQL Server Magazine article by Microsoft Research team members Alexei Bocharov and Jesper Lind talks about the new algorithms and other data mining server features in SQL Server 2005 Analysis Services
 
Detect Anomalies in Excel Spreadsheets
In this article published by Access-VB-SQL Advisor magazine, Bogdan Crivat and Jamie MacLennan show us how to use SQL Server 2005 Data Mining inside Excel to detect values in your spreadsheet that do not fit the general patterns in the rest of the data.
 
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