Clustering and Association Modeling Using IBM SPSS Modeler (v18.1.1) introduces modelers to two specific classes of modeling that are available in IBM SPSS Modeler: clustering and associations. Participants will explore various clustering techniques that are often employed in market segmentation studies. Participants will also explore how to create association models to find rules describing the relationships among a set of items, and how to create sequence models to find rules describing the relationships over time among a set of items.
1: Introduction to clustering and association modeling
Discuss when to use a particular technique on what type of data
Identify the configuration of the K-means node
Model a Kohonen network
Model and analyze a TwoStep clustering solution
Interpret association rules
Interpret the sequence rules and add sequence predictions to steams
Search for sequences in Web log data
Understand how a Kohonen neural network learns
Model associations and generate rules using Carma
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