Course Schedule 2013

There are two weekly lectures: tuesday 9.00-10.45 hrs and thursday 15.15-17.00 hrs. Furthermore, there are computer lab sessions in which we practice with R, and work on the practical assignments. These sessions take place on thursday 13.15-15.00 hrs. In the schedule below, lecture 38A is the lecture on tuesday in week 38, 38B is the lecture on thursday in week 38, and 38C is the computer lab session in week 38. The first lecture is on tuesday, september 10th. The first computer lab session is on thursday, september 19th.

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 No lecture  
38C Computer Lab: Work on assignment 1  
38B Classification Trees (2) (Slides) Lecture Notes on Classification Trees
39A Excercise Class Classification Trees Exercises (Solutions)
39C Computer Lab: Work on assignment 1  
39B Graphical Models (1) (Slides) Lecture Notes on Graphical Models
40A Graphical Models (2) (Slides) Lecture Notes on Graphical Models
40C Computer Lab: Work on assignment 1  
40B Graphical Models/Exercise class 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 Frequent Tree Mining (Slides)
(Worked example)
Slides and Worked example
42A Exercise class frequent pattern mining Exercises (Solutions)
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
Exercises (Solutions)
43C Computer Lab: Work on assignment 2  
43B Bayesian network classifiers (Slides) Article Friedman et al.
44A Subgroup Discovery (Slides) Lecture Notes on Bump Hunting
44C Computer Lab: Work on assignment 2  
44B Mining (Social) Network Data (Slides) Just the Slides