Clustering and Association Modeling Using IBM SPSS Modeler v18.1.1 0A048G

Duration: 
1 days
Codes: 
0A048G
Versions: 
V18.1.1

Overview

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.

Audience

Modelers, Analysts

Skills Gained

  • 1: Introduction to clustering and association modeling
  • 2: Clustering models and K-Means clustering
  • 3: Clustering using the Kohonen network
  • 4: Clustering using TwoStep clustering
  • 7: Sequence detection
  • 8: Advanced Sequence detection
  • B: Association using the Carma model (Optional)

Course Outline

1: Introduction to clustering and association modeling

  • Identify the association and clustering modeling techniques available in IBM SPSS Modeler
  • Explore the association and clustering modeling techniques available in IBM SPSS Modeler

Discuss when to use a particular technique on what type of data

  • 2: Clustering models and K-Means clustering
  • Identify basic clustering models in IBM SPSS Modeler
  • Identify the basic characteristics of cluster analysis
  • Recognize cluster validation techniques
  • Understand K-Means clustering principles

Identify the configuration of the K-means node

  • 3: Clustering using the Kohonen network
  • Identify the basic characteristics of the Kohonen network
  • Understand how to configure a Kohonen node

Model a Kohonen network

  • 4: Clustering using TwoStep clustering
  • Identify the basic characteristics of TwoStep clustering
  • Identify the basic characteristics of TwoStep-AS clustering

Model and analyze a TwoStep clustering solution

  • Identify three methods of generating association rules

Interpret association rules

  • Identify association modeling terms and rules
  • Identify evaluation measures used in association modeling
  • Identify the capabilities of the Association Rules node
  • 7: Sequence detection
  • Explore sequence detection association models
  • Identify sequence detection methods
  • Examine the Sequence node

Interpret the sequence rules and add sequence predictions to steams

  • 8: Advanced Sequence detection
  • Identify advanced sequence detection options used with the Sequence node
  • Perform in-depth sequence analysis
  • Identify the expert options in the Sequence node

Search for sequences in Web log data

  • A: Examine learning rate in Kohonen networks (Optional)

Understand how a Kohonen neural network learns

  • B: Association using the Carma model (Optional)
  • Review association rules
  • Identify the Carma model
  • Identify the Carma node

Model associations and generate rules using Carma

Related Courses

 

Thinking about Onsite?

If you need training for 3 or more people, you should ask us about onsite training. Putting aside the obvious location benefit, content can be customised to better meet your business objectives and more can be covered than in a public classroom. It's a cost effective option.

Submit an enquiry from any page on this site, and let us know you are interested in the requirements box, or simply mention it when we contact you.

ITILv3, RESILIA, PRINCE2, PRINCE2 Agile, AgileSHIFT, MSP, M_o_R, P3M3, P3O, MoP, MoV courses on this page are offered by QA Affiliate of AXELOS Limited. ITIL, RESILIA, PRINCE2, PRINCE2 Agile, AgileSHIFT, MSP, M_o_R, P3M3, P3O,MoP, MoV are registered trademarks of AXELOS Limited. All rights reserved.