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 4-09-17 SYL 1531 Introduction slides 1a, 1b, 1c, 1d 1a, 1b
211-09-17 HUY Sitt Data distributions and information slides 2a, 2b 2a, 2b, 2c, 2d 2a, 2b, 2c, 2d
318-09-17 STE E004 Decision trees slides 3a, 3b 3a, 3b, 3c, 3d 3a, 3b, 3c, 3d
425-9-17 SNE 407-409 Decision trees pruning + Practical Weka slides 4 4a, 4b, 4c 4a, 4b
52-10-17 HUY Sitt Classificatie: Covering, Nearest Neighbour, Model Evaluatie slides 5a, 5b 5a, 5b 5a, 5b, 5c, 5d
69-10-17 SNE 407/409 Data Mining tools, Data Science, Big Data + Practical Weka slides 6a, 6b 6 6a, 6b
716-10-17 HUY Sitt Subgroup Discovery + Instructions Challenge slides 7 7 7a, 7b, 7c, 7d
823-10-17 HUY Sitt Regression, Maximally Informative k-Itemsets paper slides 8a, 8b 8a, 8b 8a, 8b, 8c, 8d
930-10-17 SYL 1531 Clustering slides 9 9a, 9b 9a, 9b, 9c
106-11-17 No lecture!
1113-11-17 HUY Sitt Data Preprocessing + Challenge: Questions and Answers slides 10 10 10a, 10b
1220-11-17 SYL 1531 Frequent Pattern Mining Handout (till 6.4) slides 11 11 11a, 11b, 11c
1327-11-17 HUY Sitt Preparation exam slides 12 12
14 4-12-17 HUY 211/214 Guest lecture Rob Konijn: Fraud detection at Achmea
15 08-01-18, 14:00 uur HUY Sitt Exam (Sitterzaal, Huygens)