| title | Data Mining Algorithms (SQL Server Data Mining Add-ins) | Microsoft Docs | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ms.custom | |||||||||||||
| ms.date | 06/13/2017 | ||||||||||||
| ms.prod | sql-server-2014 | ||||||||||||
| ms.reviewer | |||||||||||||
| ms.technology | analysis-services | ||||||||||||
| ms.topic | conceptual | ||||||||||||
| helpviewer_keywords |
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| ms.assetid | 3a1a62e4-9fb5-4cdb-a6c6-1b8b30d417ef | ||||||||||||
| author | minewiskan | ||||||||||||
| ms.author | owend | ||||||||||||
| manager | craigg |
The Data Mining Add-ins for Office supports creation of analytical models using the following data mining algorithms. All algorithms are based on well-known machine learning methods and have been implemented by Microsoft Research.
| Machine learning method | How it works |
|---|---|
| Microsoft Association Rules algorithm | Discover which products are purchased together or which events occur together, and use the model to create recommendations. https://msdn.microsoft.com/library/ms174916.aspx |
| Microsoft Clustering algorithm | Define market segments, automatically group related customers together, or find relationships in data to use in further mining. https://msdn.microsoft.com/library/ms174879.aspx |
| Microsoft Decision Trees algorithm | Identify previously unknown relationships between various elements of your data to better inform your decisions, or find the factors that lead to specific outcomes. https://msdn.microsoft.com/library/ms174923.aspx |
| Microsoft Linear Regression algorithm | Find a mathematical formula that describes factors that contribute to a numeric outcome. https://msdn.microsoft.com/library/ms174824.aspx |
| Microsoft Logistic Regression algorithm | Identify the factors that contribute to binary outcomes, and learn how to use those to affect results. https://msdn.microsoft.com/library/ms174828.aspx |
| Microsoft Naïve Bayes algorithm | Explore relationships in your data and find those mostly closely correlated with an outcome. https://msdn.microsoft.com/library/ms174806.aspx |
| Microsoft Neural Networks algorithm | Find hidden relationships among multiple inputs and even multiple outputs. Use for exploration or for prediction. https://msdn.microsoft.com/library/ms174941.aspx |
| Microsoft Time Series algorithm | Use historical data to forecast future values. https://msdn.microsoft.com/library/ms174923.aspx |
When you use the Data Mining Client for Excel, you have the option to create your own data mining structures and models, or to fine-tune the parameters of the algorithms.
Algorithm Parameters (SQL Server Data Mining Add-ins)
There are two ways to customize your models using these advanced options:
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Use the Data Mining Query wizard to create your model.
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In the Data Mining Client, after you start the wizard, click Parameters.
Query (SQL Server Data Mining Add-ins)
Advanced Modeling (Data Mining Add-ins for Excel)