The programme consists of weekly lectures of two hours, of which occasionally one hour is replaced by practical work.

# Date Location Subject Remark Slides Video EN Video NL
1 05-09-18 Gor Hav Introduction 1 1a, 1b 1a, 1b
212-09-18 No lecture!
319-09-18 Gor Hav Data distributions and information 2a, 2b 2a, 2b, 2c, 2d 2a, 2b, 2c, 2d
426-9-18 Gor Hav Decision trees 3a, 3b 3a, 3b, 3c, 3d 3a, 3b, 3c, 3d
503-10-18 No lecture!
610-10-18 Gor Hav Decision trees pruning + Practical Weka 4 4a, 4b, 4c 4a, 4b
717-10-18 Gor 02 Classificatie: Covering, Nearest Neighbour, Model Evaluatie 5a, 5b 5a, 5b 5a, 5b, 5c, 5d
824-10-18 Huy Sitt Data Mining tools, Data Science, Big Data + Practical Weka 6a, 6b 6 6a, 6b
931-10-18 Huy Sitt no lecture
1007-11-18 Huy Sitt Subgroup Discovery + Instructions Challenge 7 7 7a, 7b, 7c, 7d
1114-11-18 Huy Sitt Regression, Maximally Informative k-Itemsets paper 8a, 8b 8a, 8b 8a, 8b, 8c, 8d
1221-11-18 Huy Sitt Clustering 9 9a, 9b 9a, 9b, 9c
1328-11-18 Huy Sitt Data Preprocessing + Challenge: Questions and Answers 10 10 10a, 10b
14 05-12-18 Huy 211/214 Frequent Pattern Mining Handout (till 6.4) 11 11 11a, 11b, 11c
15 12-12-18 Huy Sitt Preparation exam 12 12
04-01-19, 14:00 Exam  
13-03-19, 14:00 Resit