Clustering and Association Models Using IBM SPSS Modeler (v16)

Course details

Clustering and Association Modeling Using IBM SPSS Modeler (v16) is a one day, instructor-led course that is designed to introduce participants 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.

Target Audience:

This course is for IBM SPSS Modeler Analysts who want to become familiar with the full range of modeling techniques available in IBM SPSS Modeler to segment (cluster) data and to create models using association or sequence data.

Objectives:

Please refer to Course Overview for description information.

Prerequisites:

You should have Experience using IBM SPSS Modeler, including a familiarity with the IBM SPSS Modeler environment, creating streams, reading in data files, assessing data quality and handling missing data (including Type and Data Audit nodes, basic data manipulation including Derive and Select nodes), and creation of models.

Content:

• Introduction to Association and Cluster Modeling
• Clustering Techniques and K-Means Clustering
• Association Rules
• Advanced Association Rules
• Sequence Detection
• Advanced Sequence Detection