Jožef Stefan IPS Bologna 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 (12 ct)

Special cases:

(D) Data mining / Podatkovno rudarjenje (5-6 ct)

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
• lecture notes: slides (.pdf) , 6/page (.pdf)
• Practice: dr. Petra Kralj Novak
• practice notes:
  • 25.11.2010 slides: (.pdf) , 6/page (.pdf); discussion (.pdf), 6/page (.pdf)
  • 2.12.2009 slides: (.pdf) , 6/page (.pdf)
  • entropy and information gain (.pdf)
  • decision trees (.pdf)
  • naive Bayes (.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

• Weka
• Notepad++

Course requirements:

1. 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
2. Data mining seminar
• Oral presentation of seminar proposals (max 4 minutes per student, use slides template,
  file naming convention DM2009-SurnameFirstname.ppt)
• 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 DM2009-SurnameFirstname.ppt
3. Text mining seminar
• http://blazfortuna.com/teaching/text-mining-seminar/
4. Data representation and manipulation seminar
• http://www.temida.si/~bojan/MPS/

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

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)