Clustering and Association Modeling Using IBM SPSS Modeler (V16)

Introduction to Association and Cluster Modeling

• Modeling Techniques
• Clustering Types
• Association Rules
• Sequence Detection
• Which Technique, and When?

Clustering Techniques and K-Means Clustering

• Cluster Analysis and Principles
• Explore K-Means Clustering
• Examine the K-Means Node
• Explore Clustering Profiles

Clustering Techniques and K-Means Clustering

• Clustering with a Kohonen Network
• Examine the Kohonen Node

Clustering Techniques and K-Means Clustering

• TwoStep Clustering
• Examine the TwoStep algorithm
• The TwoStep Node

Association Rules

• Examine the Apriori association detection algorithm
• Rule and Measure Formats
• Explore the Apriori Model Node dialog
• Identify browsing rules and display statistics
• Use the Associations
• Explore the Generate Ruleset dialog
• Examine the Ruleset in a stream

Advanced Association Rules

• Advanced Association Rules
• Explore the Apriori algorithm
• Explore the Carma algorithm
• Apriori Expert Options
• Explore Apriori Evaluation Measures
• Carma Expert Options
• Choose a method and Expert Options
• Missing Data with Association Rules

Sequence Detection

• Examine Sequences
• Examine the Sequence Node
• Explore Sequence Rulesets
• Rule support
• Sorting Rulesets
• Supernodes
• Export Rules

Advanced Sequence Detection

• Explore the Sequence Node
• Identify Sequence Node options
• Examine Expert options
• Examine Time field guidelines
• Generate Sequence Results
• Generate and edit the Ruleset
• Explore the results