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SAS Enterprise Miner Software, Release 4.1
What's New Highlights
Enterprise Miner is the first and only data mining solution that addresses the entire data mining process -- all through an intuitive point-and-click graphical user interface (GUI). Combined with SAS data warehousing and OLAP technologies, it creates a synergistic, end-to-end solution that addresses the full spectrum of knowledge discovery.
SAS Enterprise Miner, Release 4.1, provides new production and experimental nodes as well as significant enhancements to the functionality of existing tools. The new nodes and features are
- Link Analysis
- An experimental visualization node that organizes data from different sources into a data model that can be graphically viewed and manipulated.
- Memory Based Reasoning
- An experimental modeling node that uses nearest neighbor algorithms to categorize or predict observations.
- Princomp/Dmneural
- A new modeling node that performs standalone principle component analysis, and also predicts binary and interval target variables using principal components as inputs to fit additive nonlinear models.
- SAS Process Monitor
- An interactive graphic display that enables you to track and stop the training processes of the Regression, Neural Network, and SOM/Kohonen nodes.
- Time Series
- An experimental node that converts transactional data into time series data and performs trend and seasonal analyses on interval targets.
- Two Stage Model
- A new node allows data miners to create models that can predict a class target and an interval target within the class.
- Tree Results Viewer
- This experimental feature significantly enhances the output graphical capabilities of the Tree modeling node, with improved presentation quality and customizable output displays.
Enhancements to existing nodes include the following:
- In the Assessment node and in the Model Manager feature, you can now create a predicted plot with interval targets.
- The experimental Model Export feature enables you to store your models and association and sequence results within a centralized model repository.
- The C*Score node enables you to create an XML file that describes the C scoring code.
Enterprise Miner, Release 4.1, also contains experimental Text Mining nodes that enable you to create term and document frequency tables from textual data, reduce the dimensions of the data, and perform observation clustering for a given data set by identifying primary and secondary clusters that are based on probabilities. The text mining nodes require a separate setinit to operate -- contact your SAS sales representative for more information.
What's New Details
- Enterprise Miner, Version 4.1 Changes and Enhancements
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