Jožef Stefan International Postgraduate School Statistics
2011/2012
Data Mining Courses Webpage
Courses:
Jožef Stefan IPS MSc (ICT2/IKT2):
- (A) Data Mining and Knowledge Discovery / Podatkovno rudarjenje in odkrivanje zakonitosti (8/24 ct)
- Jožef Stefan IPS PhD (ICT3/IKT3) Module Knowledge Technologies / Modul Tehnologije znanja:
- (B) Selected techniques for tabular and relational data mining / Izbrane tehnike rudarjenja tabelaričh in večrelacijskih podatkov (3 ct)
- Statistics MSc program:
- (C) Data mining / Podatkovno rudarjenje (5 ct)
Wednesday, 26. 10. 2011 |
15:15 - 17:00 |
Seminar I (ICT3): Knowledge Technologies - Data Mining (prof. dr. Nada Lavrač) |
IPS lecture hall |
|
17:15 - 19:00 |
Selected techniques for tabular and relational data mining (ICT3) (prof. dr. Nada Lavrač) |
IPS lecture hall |
Tuesday, 8. 11. 2011 |
17:15 - 19:00 |
Practice
(dr. Petra Kralj Novak) |
IPS lecture hall |
Tuesday, 15. 11. 2011 |
17:15 - 19:00 |
Data Mining and Knowledge Discovery (ICT2)
(N. Lavrač, B. Cestnik, D. Mladenić, P. Kralj Novak) |
IPS lecture hall |
Tuesday, 22. 11. 2011 |
17:15 - 19:00 |
Practice
(dr. Petra Kralj Novak) |
IPS lecture hall |
Tuesday, 29. 11. 2011 |
17:15 - 19:00 |
Practice
(dr. Petra Kralj Novak) |
IPS lecture hall |
? |
? |
Statistika - Sodobni statistični pristopi - rudarjenje podatkov
(prof. dr. Nada Lavrač) |
? |
Tuesday, 20. 12. 2011 |
17:00 - 18:00 |
Data Mining written exam
(dr. Petra Kralj Novak) |
IPS lecture hall |
|
18:00 - 19:00 |
Data Mining seminar topic presentations
(dr. Petra Kralj Novak) |
IPS lecture hall |
Tuesday, 24. 1. 2012 |
17:15 - 19:00 |
Data mining seminar presentations
(prof. dr. Nada Lavrač, dr. Petra Kralj Novak) |
IPS lecture hall |
Course materials
-
page of the part of the DATA MINING AND KNOWLEDGE DISCOVERY (ICT2) course on data preprocessing that is covered by doc. dr. Bojan Cestnik
- Lectures: prof. dr. Nada Lavrač
- Practice: dr. Petra Kralj Novak
- practice notes:
- 8.11.2011 slides:
(.pdf) ,
6/page (.pdf);
- entropy and information gain (.pdf)
- decision trees (.pdf)
- 22.11.2011 slides:
(.pdf) ,
6/page (.pdf);
- naive Bayes (.pdf)
- 29.11.2011 slides:
(.pdf) ,
6/page (.pdf)
- association rules (.pdf)
- hands on Weka
- classification (.pdf),
6/page (.pdf)
- numeric prediction (.pdf),
6/page (.pdf)
- classificarion and association rules (.pdf),
6/page (.pdf)
- datasets (.zip)
Useful links
Course requirements:
Students
Jožef Stefan IPS MSc (ICT2) course Data Mining and Knowledge Discovery (8/24 ct):
written exam and seminar
Jožef Stefan IPS PhD (ICT3) course Selected techniques for tabular and relational data mining (3 ct):
written exam
Statistics Phd program course Data mining (5 ct):
written exam and seminar
- Written exam
- 45 minutes of time
- 4 tasks (2 computational, 2 theoretical)
- Literature is not allowed
- Each student can bring one hand-written A4 sheet of paper
and a hand calculator
- Data mining seminar
Examples of data mining seminars:
- Janez Bucik (.pdf)
Microsoft stock quotes dependency analysis
- Matej Gašperin (.pdf)
Case study on the use of data minig techniques in food science using
honey samples
- Valentin Koblar (in Slovene .pdf)
Napoved menjalnega tečaja ameriškega dolarja na podlagi menjalnih
tečajev tujih valut
Ideas for seminars
- Analyze some data where you are the domain expert, use at least two algorithms
- Find some interesting data to analyze, possible sources:
Templates
- presentation template (.pot)
- paper template (.doc)
- paper guidelines (.doc)
Link to last year's web page -
Data Mining and Knowledge Discovery 2010/2011 |