Using the FP-Growth Algorithm to Mine Useful Patterns in Data
This article looks at using the FP-Growth algorithm from Python to mine data in SQL Server.
2025-09-08
2,479 reads
This article looks at using the FP-Growth algorithm from Python to mine data in SQL Server.
2025-09-08
2,479 reads
Learn about working with time series data using T-SQL code and how to add additional data to the data set for more in-depth data mining.
2023-11-27
This article explains what bagging is relative to a basic decision tree model and demonstrates how to apply bagging for better multiple regression model fits to data from SQL Server.
2021-01-20
In this tip, Dallas Snider explains how to interpret the Lift Chart found on the Mining Accuracy tab of a SQL Server 2014 Analysis Services Data Mining structure.
2014-11-27
7,629 reads
2014-01-08
1,527 reads
This articles explores how you can work with filtered models, a powerful new feature introduced in SQL Server 2008 that allows you build models on slices of a mining structure.
2009-12-03
2,607 reads
I want to show you another easier way to pull information to help predict database growth again using the Data Mining Tools.
2009-07-22
2,359 reads
2009-07-15
2,759 reads
Learn more about the new APIs for data mining in SQL Server 2005, and get an introduction to several common development scenarios.
2009-04-24
2,532 reads
2009-04-03
2,621 reads
By Steve Jones
Thanks to everyone who attended my sessions today at SQL Saturday Boston 2025. I’ve...
SQL Server 2025 introduces native support for vector data types and external AI models....
By Steve Jones
Fear is fueled by a lack of imagination. The antidote to fear is not...
hi everyone I am getting an error when I add a variable to a...
Comments posted to this topic are about the item How to Use SQL Server...
Comments posted to this topic are about the item Choosing an AI in Sept...
In SQL Server 2025, there is a new data type designed to support similarity search and machine learning applications for AI applications. What is this new data type?
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