Data Mining and Knowledge Discovery

professor: Nada Lavrač

assistant: Petra Kralj Novak

Information and Communication Technologies (ICT3): Data Mining and Knowledge Discovery / Podatkovno rudarjenje in odkrivanje zakonitosti (5 ct)

Statistics PhD program: Data mining / Podatkovno rudarjenje (5 ct)

Scheduled Lectures in 2016/17

Course materials

• Lecture notes by prof. dr. Nada Lavrač: slides
• Practice: dr. Petra Kralj Novak
• Practice notes:
  • 15.11.2016 slides (.pdf) , 6/page (.pdf);
  • entropy and information gain (.pdf)
  • decision trees (.pdf)
  • 16.11.2016 slides: (.pdf) , 6/page (.pdf)
  • naive Bayes (.pdf)
  • 13.12.2016 slides: (.pdf) , 6/page (.pdf)
  • association rules (.pdf)
• Hands on Weka
  • Hands on Weka Part 1 (.pdf), 6/page (.pdf)
  • Hands on Weka Part 2 (.pdf), 6/page (.pdf)
  • Hands on Weka Part 3 (.pdf), 6/page (.pdf)
  • datasets (.zip)

Useful links

• Weka
• Notepad++

Course requirements:

• Attending lectures
• Attending practical exercises : Theory exercises and hands-on (intro to WEKA by Petra Kralj Novak, intro to ClowdFlows by Janez Kranjc)
• Written exam (2 ECTS)
• Seminar (3 ECTS): 2 ECTS written part, 1 ECTS oral presentation, both in English

1. Written exam
   • 60 minutes of time
   • 4 tasks: 2 computational (60%), 2 theoretical (40%)
   • Literature is not allowed
   • Each student can bring one hand-written A4 sheet of paper and a hand calculator
2. Data mining seminar
   • One page seminar proposal by 20.12.2016
   • Deliver a 4 pages 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)

Examples of data mining seminars:

• Janez Bucik (.pdf)
  Microsoft stock quotes dependency analysis
• 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:
   • Statistični urad Republike Slovenije
   • Ljubljanska borza d.d.
   • Banka Slovenije
   • World Health Organization
   • Center for Climatic Research, University of Delaware
   • Vrhovno sodišče Republike Slovenije - sodna praksa

Templates

• presentation template (.pot)
• paper template (.doc)
• paper guidelines (.doc)