Earlier SQL Server Analysis Services editions supported data mining algorithms for classification, regression, clustering, association discovery and time-series modelling.
Concepts and context
Decision trees split a population into predictive segments, logistic regression predicts categories, linear regression estimates continuous outcomes, and clustering identifies similar records. Association rules find co-occurrence patterns; time-series models estimate temporal behaviour.
Practical application
A modern project can source clean data from SQL Server, fit baseline and advanced models in a supported ML environment, compare accuracy on held-out observations and monitor drift in production.
Compatibility and cautions
SSAS data mining was deprecated in SQL Server 2017 and discontinued in SQL Server 2022. Legacy DMX and Excel add-in tutorials are historical, not current installation guidance.
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