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Content with tags Data Warehousing, Data Mining Rss

   Items 1 to 10 of 10   
 

Generating lift reports using Reporting Services - Part 1

This tip explores a DMX extension introduced in SQL Server 2005 SP2 that can be used to render lift reports directly in Reporting Services.  Read more...
By Additional Articles 2007/05/24 | Source: sqlserverdatamining.com | Category: data mining
Rating:  Rate this |   Briefcase | 2,989 reads

Data Validation Sample

This video sample shows how the clustering algorithm can be used to automatically validate data.  Read more...
By Additional Articles 2006/11/08 | Source: sqlserverdatamining.com | Category: data mining
Rating:  Rate this |   Briefcase | 1,817 reads

Executing predictions from the SQL Server relational engine

This tip shows you how to execute and use the results of prediction queries in multiple ways within the SQL Server relational database engine.  Read more...
By Additional Articles 2006/10/10 | Source: sqlserverdatamining.com | Category: data mining
Rating:  Rate this |   Briefcase | 2,090 reads

Mining in-memory data

This article explains how desktop applications can use SQL Server 2005 Data Mining to analyze in-memory data.  Read more...
By Additional Articles 2006/10/03 | Source: sqlserverdatamining.com | Category: data mining
Rating:  Rate this |   Briefcase | 2,122 reads

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.  Read more...
By Additional Articles 2006/05/24 | Source: Other | Category: data mining
Rating:  Rate this |   Briefcase | 1,735 reads

Data Mining Reloaded

The two main functions of data mining are classification and prediction (or forecasting). Data mining helps you make sense of those countless gigabytes of raw data stored in databases by finding important patterns and rules present in the data or derived from it. Analysts then use this knowledge to make predictions and recommendations about new or future data. The main business applications of data mining are learning who your customers are and what they need, understanding where the sales are coming from and what factors affect them, fashioning marketing strategies, and predicting future business indicators.  Read more...
By Additional Articles 2005/03/04 | Source: SQL Server Magazine | Category: data mining
Rating:  Rate this |   Briefcase | 2,083 reads

Unearth the New Data Mining Features of Analysis Services 2005

An article from Microsoft Journal looking at the new Mining features of SQL Server 2005. If you're interested in Analysis Services, this ias a good look (from a high level) at the next version.  Read more...
By Additional Articles 2004/08/19 | Source: MSDN Communities | Category: data mining
Rating:  Rate this |   Briefcase | 1,170 reads

Comparison of Business Intelligence Strategies between SQL and Oracle

Dinesh does a good write up on research he did investigating the BI market and doing a feature comparison between Oracle 9i and SQL 2000. Simple bullet point format, worth a look.   Read more...
By Dinesh Priyankara 2003/05/19 | Source: SQLServerCentral.com | Category: miscellaneous
Rating: |  Discuss |   Briefcase | 19,226 reads

The Data Mining Cluster Analysis Algorithm

Provides audience with information on cluster analysis algorithm.   Read more...
By Additional Articles 2001/05/07 | Source: PASS | Category: data mining
Rating:  Rate this |   Briefcase | 1,233 reads

Analysis Services Enhancements

In SQL Server 2000, Microsoft has closed the gap between its multidimensional database offering, OLAP Services, and the rest of the market place.   Read more...
By Mark Chaffin 2001/04/22 | Source: SQLServerCentral.com | Category: olap server
Rating: |  Discuss |   Briefcase | 4,332 reads
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