![]() By applying the data mining algorithms in SQL Server Analysis Services to your data, you can forecast trends, identify patterns, create rules and recommendations, analyze the sequence of events in complex data sets, and gain new insights. Benefits of Data MiningÄata mining (also called predictive analytics and machine learning) uses well-researched statistical principles to discover patterns in your data. Integrating data mining into business intelligence solution helps you make intelligent decisions about complex problems. All models have integrated visualizations to help you develop, refine, and evaluate your models. SQL Server Data Mining includes multiple standard algorithms, including EM and K-means clustering models, neural networks, logistic regression and linear regression, decision trees, and naive bayes classifiers. The combination of Integration Services, Reporting Services, and SQL Server Data Mining provides an integrated platform for predictive analytics that encompasses data cleansing and preparation, machine learning, and reporting. SQL Server has been a leader in predictive analytics since the 2000 release, by providing data mining in SQL Server Analysis Services. To learn more, see Analysis Services backward compatibility. Documentation is not updated for deprecated features. ![]() Data mining is deprecated in SQL Server Analysis Services 2017 and will be discontinued in a future release.
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