Lecture 
Subject/Slides 
Literature 
37A 
Introduction (Slides) 
A. Feelders et al.: Methodological and Practical Aspects of Data Mining 
37B 
Classification Trees (1) (Slides) 
Lecture Notes on Classification Trees 
38A 
Classification Trees (2) (Slides) 
Lecture Notes on Classification Trees 
38C 
Computer Lab: Work on assignment 1 

38B 
Classification Trees (3)/Exercise class 
Exercises (Solutions) 
39A 
Graphical Models (1) (Slides) 
Lecture Notes on Graphical Models 
39C 
Computer Lab: Work on assignment 1 

39B 
Graphical Models (2) (Slides) 
Lecture Notes on Graphical Models 
40A 
Graphical Models (3) 
Lecture Notes on Graphical Models 
40C 
Computer Lab: Work on assignment 1 

40B 
Exercise class graphical modeling 
Exercises (Quantiles of the Chisquare distribution)
(Solutions)

41A 
Frequent Itemset Mining (Slides) 
Lecture Notes on Frequent Item set Mining 
41C 
Computer Lab: Work on assignment 1 

41B 
No lecture 

42A 
Frequent Tree Mining (Slides)(Worked example) 
Slides and Worked example 
42C 
Computer Lab: Work on assignment 2 

42B 
Bayesian Networks (1) (Slides) 
Lecture Notes on Bayesian Networks 
43A 
Bayesian Networks (2) (Slides) 
Lecture Notes on Bayesian Networks 
43C 
Computer Lab: Work on assignment 2 

43B 
Bayesian Network Classifiers (Slides) 
Article N. Friedman et al. 
44A 
Subgroup Discovery (Slides) 
Lecture Notes on Bump Hunting 
44C 
Computer Lab: Work on assignment 2 

44B 
Exercise Class (Exercises)(Solutions) 
