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More Data Mining with Weka

This course follows on from Data Mining with Weka and provides a deeper account of data mining tools and techniques. Again the emphasis is on principles and practical data mining using Weka, rather than mathematical theory or advanced details of particular algorithms. Students will work with multimillion-instance datasets, classify text, experiment with clustering, association rules, neural networks, and much more.

The 5-week course will begin on 28 April 2014. Students should have completed Data Mining with Weka, or have equivalent knowledge of the subject. A detailed syllabus is available.

The course features:

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Prof Ian H. Witten
Department of Computer Science
University of Waikato

Schedule

  • Pre-course survey Open

  • Class 1 - Exploring Weka's interfaces, and working with big data April, 28 2014

  • Class 2 - Discretization and text classification May 5, 2014

  • Mid-course assessment Opens May 9, closes June 8, 2014

  • Class 3 - Classification rules, association rules, and clustering May 12, 2014

  • Class 4 - Selecting attributes and counting the cost May 19, 2014

  • Class 5 - Neural networks, learning curves, and performance optimization May 26, 2014

  • Post-course assessment Opens May 28, closes June 8, 2014

  • Post-course survey Opens May 28, closes June 8, 2014