![]() ![]() Risk and probability: Choosing the best customers for targeted mailings, determining the probable break-even point for risk scenarios, assigning probabilities to diagnoses or other outcomes Mining models can be applied to specific scenarios, such as:įorecasting: Estimating sales, predicting server loads or server downtime These patterns and trends can be collected and defined as a data mining model. Typically, these patterns cannot be discovered by traditional data exploration because the relationships are too complex or because there is too much data. Data mining uses mathematical analysis to derive patterns and trends that exist in data. To learn more, see Analysis Services backward compatibility.ĭata mining is the process of discovering actionable information from large sets of data. Documentation is not updated for deprecated and discontinued features. Data mining was deprecated in SQL Server 2017 Analysis Services and now discontinued in SQL Server 2022 Analysis Services.
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