Course Overview

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 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.

Who Should Attend

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

Course Certifications

This course is part of the following Certifications:

Prerequisites

  • 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
  • Creation of models

Course Content

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
  • Exploring K-means Clustering
  • Examine the K-means Node
  • Exploring Clustering Profiles

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 Option
  • Missing Data with Association Rules

Sequence Detection

  • Examine Sequences
  • Examine the Sequence node
  • Explore Sequence Rulesets
  • Role Support
  • Sorting Rulesets
  • Supernodes