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0A047G – Clustering and Association Modeling Using IBM SPSS Modeler

Home / 0A047G – Clustering and Association Modeling Using IBM SPSS Modeler

Clustering and Association Modeling Using IBM SPSS Modeler (v18) introduces modelers to two specific classes of modeling that are available in IBM SPSS Modeler: clustering and associations. Students will explore various clustering techniques that are often employed in market segmentation studies. Students 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.

Course Length: 1 day(s)

Course Price: $700 CAD

Available Course Formats:

  • In-class
  • Instructor Led Online
  • Self-Paced Virtual Classroom

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Course: 0A047G – Clustering and Association Modeling Using IBM SPSS Modeler

Introduction to clustering and association models

  • 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

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

Clustering using the Kohonen network

  • Identify the basic characteristics of the Kohonen network
  • Understand how to configure a Kohonen node
  • Model a Kohonen network

Clustering using TwoStep clustering

  • Identify the basic characteristics of TwoStep clustering
  • Identify the basic characteristics of Two Step AS clustering
  • Model and analyze a TwoStep clustering solution

Use Apriori to generate association rules

  • Identify three methods of generating association rules
  • Use the Apriori node to build a set of association rules
  • Interpret association rules

Use advanced options in Apriori

  • Identify association modeling terms and rules
  • Identify evaluation measures used in association modeling
  • Identify the capabilities of the Association Rules node
  • Model associations and generate rules using Apriori

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

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

Audience

Modelers, Analysts

Prerequisites

  • Experience using IBM SPSS Modeler
  • A familiarity with the IBM SPSS Modeler environment: creating models, creating streams, reading in data files, and assessing data quality
  • A familiarity with handling missing data (including Type and Data Audit nodes), and basic data manipulation (including Derive and Select nodes)

Instructor Led In Classroom

Newcomp can directly deliver  IBM Business Analytics courses for Business Intelligence, Performance Management, and IBM Advanced Analytics through the use of in-class training facilities.

Currently,  in-class courses are offered in Markham, Ottawa, Vancouver, Halifax, and Edmonton. Please note that classes can be added to new areas based on demand.

Instructor Led Online

Students receive the same quality as an in-class course, with a live instructor and the ability to participate in hands-on labs through real-life examples

ILOs help cut costs by reducing time and travel as they can be taken from home or the office and require only the use of a computer, high-speed wired internet and a headset.

Self Paced

Students can receive the same high-quality training, with the same courseware at their own speed and schedule with SPVC.  Individuals with busy schedules can complete a course over a 30-day timeframe at a lower price than in-class or ILO courses. Please note that there is no live interaction with an instructor in this format.