Material
Monday August 29
09:00 – 09:30 Lecture: Knowledge discovery and data mining
09:30 – 10:45 Lecture: Decision-tree induction and rule induction
11:15 – 12:45 Lab 1: Introduction to the Weka data-mining environment. Experiments with decision trees and decision rules on simple datasets
14:00 – 15:15 Lecture: Evaluation of learning models
15:45 – 17:00 Lab 2: Evaluation of decision trees and decision rules
Tuesday August 30
10:00 – 11:15 Lecture: Instance-based learning and Bayesian learning
11:30 – 12:45 Lab 3: Experiments in text classification using the nearest neighbour algorithm and the naïve Bayesian classifier
14:00 – 15:15 Lecture: Feature selection and Clustering
15:45 – 17:00 Lab 4: Experiments with decision trees and decision rules on the caravan dataset
Wednesday August 31
14:00 – 15:15 Lecture: Regression
15:45 – 17:00 Lab 5: Predicting Financial Time Series
14:00 – 15:15 Lecture: Association rules (Evgueni Smirnov)
15:45 – 17:00 Lab 6: Experiments with association rules on a market-basket dataset
Thursday September 1
10:00 – 11:15 Lecture: Ensemble Methods
11:30 – 12:45 Lab 7: Final experiments on the caravan data set Test set
