Mining in-memory data
This article explains how desktop applications can use SQL Server 2005 Data Mining to analyze in-memory data.
2006-10-03
2,504 reads
This article explains how desktop applications can use SQL Server 2005 Data Mining to analyze in-memory data.
2006-10-03
2,504 reads
This article, published in the June 2005 issue of SIGMOD Record, provides an overview of SQL Server Data Mining from a standards perspective.
2006-05-24
2,097 reads
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.
2005-03-04
2,425 reads
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.
2004-08-19
1,617 reads
Provides audience with information on cluster analysis algorithm.
2001-05-07
1,594 reads
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I want to create a JSON document that contains data from this table:
TeamID TeamNameCity YearEstablished 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933 3 Packers Green Bay 1919 4 Chiefs Kansas City 1960If I run this code, what document(s) is/are returned?
SELECT json_objectagg( n.city : n.TeamName) FROM dbo.NFLTeams;See possible answers