Introduction to SAS enterprise miner software
Aims
The course introduces the Enterprise Miner software solution, the SAS Data Mining tool. Enterprise Miner allows you to set up complete processes for the creation of analytical projects. It also provides automatisms for applying the implemented models. During the course we cover the techniques provided by the tool and go into detail on the functions of the various junctions, in both the results setting and reading phase.
Who should attend
Data mining experts, statistical analysts, business users.
Prerequisites
Basic experience in the use of the SAS language is required.
Course outline
Introduction to Enterprise Miner
- Main functions, components, project definition
- Analysis flow diagram definition
- Some initial explorative analysis
Regression
- Conduct a regression analysis (an example in the marketing area)
- Study of some available regression methods
Neural Networks
- Constructing multi-later perceptrons
- Visualisation of the complexity of a network
Decision Trees
- Analysis of the Decision Tree junction functions (an example in the credit scoring area)
- Decision trees with binary and multiple partitioning
- Decision trees pruning and assessment
Model assessment and implementation
- Compare the estimated models
- Construct a simple model with the ensemble node
- Produce and use the score code
Cluster Analysis
- Conduct a cluster analysis (an example in the sales area)
- The Clustering node: the K-average method
- Kohonen maps for group analysis
- Explore groups with Insight node
Associations and Sequences
- Use of association (an example in banking)
- Quantify the association between elements
- Sequence analysis
Duration
The duration of the course is 3 days.