This one-day course demonstrates how to segment or cluster data with all the clustering techniques available in Clementine. 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.
Prerequisites: General computer literacy. Experience using Clementine, including familiarity with the Clementine 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 Clementine and Data Mining' course or the 'Preparing Data for Data Mining' course is strongly encouraged.
- Introduction to Association and Cluster Modeling Techniques in Clementine
- Techniques for Clustering
- Association Rules
- Advanced Association Rules
- Sequence Detection
- Advanced Sequence Detection
- Additional Readings
Course Duration: 1 Full Day
Venues: Gauteng and Cape Town
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