Learn how data mining uses machine learning, statistics and AI to find patterns, anomalies and correlations across massive data sets that help predict outcomes.

Use powerful data mining software, SAS Enterprise Miner, to create accurate predictive and descriptive models for large volumes of data.

Streamline the data mining process and create predictive and descriptive models based on analytics. SAS Enterprise Miner helps you analyze complex data, discover patterns and build …

Data mining is the process of extracting and finding patterns in massive data sets involving methods at the intersection of machine learning, statistics, and database systems. [1] Data …

SAS High-Performance Data Mining lets you analyze large volumes of diverse data using a drag-and-drop interface and powerful descriptive, predictive and machine-learning methods.

Nov 4, 2025 · What is Data Mining? Data mining is the process of discovering meaningful patterns, trends, and relationships in large datasets using statistical, mathematical, and …

Models can be opened, augmented and modified in SAS Enterprise Miner. Produces concise reports, including variable importance charts, lift charts, ROC charts and model scorecards, for …

The SAS Code node extends the functionality of SAS Enterprise Miner by making other SAS System procedures available in your data mining analysis. You can also write a SAS DATA …

The SAS Code node extends the functionality of SAS Enterprise Miner by making other SAS System procedures available in your data mining analysis. You can also write a SAS DATA …

The goal of most data mining tasks is to apply models that are constructed using training and validation data to make accurate predictions about observations of new, raw data.