Classic SQL Server Analysis Services data mining offered clustering, classification, association, regression, and forecasting models. The algorithms are educationally valuable, but these exact SSAS features are no longer supported in current SQL Server releases.
Algorithm families
Association rules discover co-occurrence patterns. Clustering identifies groups with similar characteristics. Decision trees and Naive Bayes classify records; regression estimates numerical or categorical outcomes; time-series methods model trends.
Historic SSAS algorithms
Microsoft’s former data-mining feature set included Association, Clustering, Decision Trees, Linear Regression, Logistic Regression, Naive Bayes, Neural Network, Sequence Clustering, and Time Series algorithms.
Compatibility warning
Microsoft states SSAS data mining was deprecated in SQL Server 2017 and discontinued in SQL Server 2022. Treat older DMX, plug-in, and Excel add-in walkthroughs as historical learning material rather than current installation instructions.
Modern alternatives
Extract curated training datasets with T-SQL and use maintained machine-learning libraries or supported analytical services. Validate performance with appropriate train/validation/test splits, leakage checks, and monitoring.
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