Course Schedule 2012

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 Chi-square 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)