0A042G: Clustering and Association Models with IBM SPSS Modeler

$895.00


  • Virtual Classroom

  • Onsite

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Duration: 1 Day

This course demonstrates how to segment or cluster data with all the clustering techniques available in IBM SPSS Modeler. The course also provides examples of creating association models to find rules describing the relationships among a set of items, and of creating sequence models to find rules describing the relationships over time among a set of items.

What You Will Learn

 

Audience

 

This intermediate course follows the Introduction to IBM SPSS Modeler and Data Mining course or the Advanced Data Preparation with IBM SPSS Modeler and is designed for anyone who wishes to become familiar with the full range of modeling techniques available in IBM SPSS Modeler to segment (cluster) data and to create models with association or sequence data. For people wishing to successfully build such models using IBM SPSS Modeler, this course is an essential part of the learning process.

Prerequistes

 

  • General computer literacy
  • Experience using IBM SPSS Modeler, including familiarity with the IBM SPSS Modeler environment, creating streams, reading in data files, assessing data quality and handling missing data (including the Type and Data Audit nodes), basic data manipulation (including the Derive and Select nodes), and creation of models.
  • Prior completion of the Introduction to IBM SPSS Modeler and Data

Course Outline

 

  • Introduction to models for clustering and association
  • Preparing data for modeling
  • Clustering models
  • Association models
  • Sequence models

Course Labs