1. Data preparation for data mining 4 credits

2. Data mining

3. Data preparation Transforming (ie. fixing) of raw data into form suitable for modeling (tool). ° detect and fix errors ° replace missing values ° transform variables, especially categorial to numerical ° transform distributions ° time-series processing ° (image preprocessing)

4. Contents of the course A look of experience into data mining A uniquely complete look into data preparation Some fooling around with Matlab Discussion! Critique! Arguments!

5. To pass the course Keep a presentation (30-45 minutes) Attend the course Home exercises Practical exercise

6. Timetable Introductory lecture on September 22nd First student presentation on September 29th DL for exercises: January 16th Post-course lecture: January 19th

7. The book $40 + posting in Amazon group order? master copy available