SAS® Enterprise Miner
Unearth valuable insight and gain profitable data mining results with less time and effort
Features
Multiple interfaces
- Easy-to-use GUI for building process flow diagrams.
- Batch processing.
- Web-based model viewer.
Scalable processing
- Java client/SAS server architecture scales from single-user to large enterprise solutions.
- Server-based processing and storage.
- Grid computing.
- Parallel processing.
- Multithreaded predictive algorithms.
Data preparation, summarization and exploration
- Access to more than 50 file structures.
- Outlier filtering.
- Data sampling.
- Data partitioning.
- Merge and append tools.
- Univariate statistics and plots.
- Bivariate statistics and plots.
- Batch and interactive plots
- Segment profile plots.
- Easy-to-use Graphics Explorer wizard and Graphics Explore node.
- Interactively linked plots and tables.
- Data transformations.
- Time series data preparation and analysis.
- Interactive variable binning.
- Rules Builder node for creating ad-hoc data driven rules and policies.
- Data replacement.
Advanced predictive and descriptive modeling
- Clustering and self-organizing maps.
- Market basket analysis.
- Sequence and Web path analysis.
- Variable clustering and selection.
- Linear and logistic regression.
- Decision trees.
- Gradient boosting.
- Neural networks.
- Partial least squares regression.
- Support vector machines (experimental).
- Two-stage modeling.
- Memory-based reasoning.
- Model ensembles, including bagging and boosting.
Business-based model comparisons, reporting and management
- Assessment features for comparing models (lift curves, statistical diagnostics and ROI metrics).
- Highly visual model comparision interface.
- Innovative Cutoff node examines posterior probability distributions.
- Report creation and distribution.
- Model result packages.
- Web-based model viewer.
Automated scoring process
- Interactive scoring.
- Automatically generates score code in SAS. C, Java and PMML.
- Deploy scoring code in real-time or batch environments.
- Model registration and viewing.
- Deploy models in multiple environments.
- Integrate SAS Enterprise Miner training and scoring processed directly into other SAS solutions.
Open, extensible design
- Extension node for easily adding tools and personalized SAS code.
- Interactive editor features for training and score code.
- Integrate text mining for analysis of both structured and unstructured data.
- Incorporate times series, Web paths and associations rules as additional input variables into the model development process.
Download the complete SAS Enterprise Miner Fact Sheet.
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