Clustering and Association Models with IBM SPSS Modeler - ILT


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Wichtige informationen

Tipologie Kurs
Beginn Oktober
  • Kurs
  • Beginn:

This intermediate course follows the Introduction to IBM SPSS Modeler and Data Mining courses 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 People wishing to successfully build such models using IBM SPSS Modeler, this course is an essential part of the learning process.


Wo und wann

Beginn Lage
Beginn Oktober

Häufig gestellte Fragen

· Voraussetzungen

You should have 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)
  • Creation of models

Was lernen Sie in diesem Kurs?

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


This course is developed and owned by an IBM Authorized Global Training Provider: Avnet Inc.

Derivative Works Courses are developed by an IBM authorized Global Training Provider. The content of the course is based on IBM products and services. It offers skills or services that IBM does not offer in the course catalog today and are intended to compliment our existing portfolio. The course is developed by the Training Provider. IBM solely provides a market place to advertise the courses on our external websites, and lists the Global Training Provider who owns the content.

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.

If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.

Zusätzliche Informationen

Please refer to course overview.

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