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Jožef Stefan International Postgraduate School

2008/2009
Data Mining and Knowledge Discovery
Knowledge Discovery and Knowledge Management in e-Science

Professor: Nada Lavrač
Assistant: Petra Kralj Novak <Petra.Kralj.Novak@ijs.si>

October 21, 2008 15:00 - 19:00 Lectures (Lavrač) IPS lecture hall
October 22, 2008 15:00 - 19:00 Practice (Kralj Novak) IPS lecture hall
November 11, 2008 15:00 - 17:00
17:00 - 19:00
Practice (Kralj Novak)
Lectures (Lavrač)
IPS lecture hall
November 12, 2008 15:00 - 17:00
17:00 - 19:00
Lectures (Lavrač)
Practice (Kralj Novak)
IPS lecture hall
December 1, 2008 16:00 - 17:00 Written exam (Kralj Novak) Seminarska soba fizike*
December 8, 2008 15:00 - 17:00 Seminar proposals presentations
Kralj Novak & Lavrač)
Orange room
January 12, 2009 17:00 - 18:00 Written exam (Kralj Novak) Orange room
January 28, 2009 15:00 - 18:00 Seminar presentations (Lavrač & Kralj Novak) IPS lecture hall
February 11, 2009 16:00 - 19:00 Seminar presentations (Lavrač & Kralj Novak) IPS lecture hall
March 2, 2009 17:30 - 19:00 Seminar presentations (Lavrač & Kralj Novak) Orange room
* Seminarska soba fizike is located on the ground floor of the Institute's main building

Course materials

  • Lectures: prof. Lavrač
    • lecture notes: slides (.pdf) , 6/page (.pdf) - corrected version
  • Practice: Petra Kralj Novak (2008/10/22)
    • practice notes: slides (.pdf) , 6/page (.pdf) - corrected version
    • entropy and information gain (.pdf) - corrected version
    • decision trees (.pdf) - corrected page no. 7 on 2008/11/24
    • naive Bayes (.pdf)
    • hands on Weka - part 1 (.pdf)
    • datasets (.zip)
  • Practice: Petra Kralj Novak (2008/11/11)
    • discussion on clasification (.pdf) , 6/page (.pdf)
    • practice notes: slides (.pdf) , 6/page (.pdf)
    • evaluating numeric prediction (.pdf)
    • hands on Weka - part 2 (.pdf)
  • Practice: Petra Kralj Novak (2008/11/12)
    • discussion on numeric prediction (.pdf) , 6/page (.pdf) - corrected slide no. 7 on 2008/11/24
    • ROC space notes: slides (.pdf) , 6/page (.pdf)
    • practice notes: slides (.pdf) , 6/page (.pdf)
    • association rules (.pdf)
    • hands on Weka - part 3 (.pdf)

Useful links

Course requirements:

  1. Written exam (1/2 of the final grade)
    • 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
  2. Seminar (1/2 of the final grade)
    • Oral presentation of seminar proposals (max 4 minutes per student, use slides template,
      file naming convention DM2008-SurnameFirstname.ppt)
    • Register for the seminar presentations as you would usually do for an exam
    • Deliver a written report (printed and electronic copy) in Information Society paper format
      on seminar presentations day (use paper template and guidelines)
    • Oral presentation of seminar results (10 minutes for presentation + 5 minutes discussion,
      use slides template and file naming convention DM2008-SurnameFirstname.ppt

Examples of 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

  1. Analyze some data where you are the domain expert, use at least two algorithms
  2. 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 07/08
Last update: 20090909