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 2020/2021

The lectures will be held by Zoom video conference.

Materials:

• Nada Lavrač:
  • Lecture notes
• Petra Kralj Novak:
  • Lecture notes from Nov. 17, 2020: Classification & Evaluation
  • Lecture notes from Dec. 1, 2020: Regression, Clustering, Association rules and XAI
  • Christoph Molnar: Interpretable Machine Learning - State of the Art and Challenges, Keynote talk at XKDD workshop at ECML PKDD 2020
• Martin Žnidaršič:
  • Lecture notes from Dec. 8, 2020: Logistic Regression, SVM and Artificial Neural Networks
  • Lecture notes from Dec. 15, 2020: Ensemble Methods and Active Learning

Hands-on materials: dr. Petra Kralj Novak

• Examples of workflows in Orange
• Hands on Scikit-learn and Keras gitlab repository
• Hands on Artificial Neural Networks Lecture notes from Dec. 15, 2020
• Additional datasets
  • FoodMart.csv
  • file.biolab.si/datasets

Literature:

1. J. Fuernkranz, D. Gamberger and N. Lavrač, Book: Foundations of Rule Learning, Chapter: Machine Learning and Data Mining, Springer, 2012
2. N. Lavrač, V. Podpečan, M. Robnik-Šikonja, Book: Representation Learning, Chapter: Propositionalization and Embeddings

Recommended background reading

1. Bramer, Max: Principles of Data Mining (2007)

Course requirements

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

1. 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
   • 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 2019/2020
Last update: January 12, 2021