Data Mining and Knowledge Discovery

professor: prof. dr. Nada Lavrač

professor: doc. dr. Petra Kralj Novak

professor: doc. dr. Martin Žnidaršič

Courses

• Information and Communication Technologies (ICT3): Data Mining and Knowledge Discovery / Podatkovno rudarjenje in odkrivanje zakonitosti
• Statistics PhD program: Podatkovno rudarjenje in odkrivanje zakonitosti v podatkih

Scheduled lectures and course materials in school year 2019/2020

Materials:

• Nada Lavrač:
  • Lecture notes from Oct. 21, 2019
  • Lecture notes from Nov. 4, 2019
  • Lecture notes from Nov. 11, 2019
• Petra Kralj Novak:
  • Lecture notes from Nov. 11, 2019: Classification
  • Lecture notes from Dec. 11, 2019: Evaluation
  • Homework assignments from Dec. 11, 2019
  • Lecture notes from Dec. 18, 2019: Regression
  • Lecture notes from Jan. 8, 2020: Association rules
  • Association rules
  • Lecture notes from Jan. 15, 2020: Neural Networks
  • Lecture notes from Jan. 21, 2020: Clustering
  • Lecture notes from Jan. 21, 2020: Explainability
• Martin Žnidaršič:
  • Lecture notes from Jan. 13, 2020: SVM
  • Lecture notes from Jan. 14, 2020: ANN
  • Lecture notes from Jan. 20, 2020: Ensembles

Practice materials: dr. Petra Kralj Novak

• Hands on Scikit-learn and Keras gitlab repository
• Additional datasets
  • FoodMart.csv
  • file.biolab.si/datasets

Literature:

1. Fawcett, Tom. "An introduction to ROC analysis." Pattern recognition letters 27.8 (2006): 861-874
2. Read: Friedman, J., Hastie, T., & Tibshirani, R. (2001). The elements of statistical learning, Second edition. New York: Springer series in statistics. , pages 9-18

Course requirements

• Attending lectures
• Written exam
• Seminar: seminar proposal, written report, oral presentation, in English

1. Written exam
2. Data mining seminar from advanced data mining topics
   • Data analysis of your own data in Orange or by using other data mining tools
   • Half a page seminar proposal on written exam day
   • 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

Templates

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

Useful links

• Orange and datasets for practice
• Scikit-learn
• Weka
• ClowdFlows

Link to last year's web page - Data Mining and Knowledge Discovery 2018/2019
Last update: February 4, 2020