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Clustering and Association Modeling Using IMB SPSS Modeler (V16) (0A045G)

Course Description Schedule Course Outline

Detailed Course Outline

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