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PT20748
Training Summary
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.
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)
Duration
1 Day
Audience
Modelers, Analysts
Course Topics
Introduction to clustering and association modelingClustering models and K-Means clusteringClustering using the Kohonen networkClustering using TwoStep clusteringUse Apriori to generate association rulesUse advanced options in Apriori�Sequence detectionAdvanced Sequence detectionExamine learning rate in Kohonen networks (Optional)Association using the Carma model (Optional), Cloud Data and AI, Information Architecture Market, AI Tools SPSS Statistics