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 course features:
Subscribe to the Announcements forum for updates and reminders.
Prof Ian H. Witten
Department of Computer Science
University of Waikato