Section outline

    • Learn how to mine your own data

      Today’s world generates more data than ever before! Being able to turn it into useful information is a key skill. This short course introduces you to basic theoretical, as well as, practical data mining using the WEKA workbench. We’ll dispel the mystery that surrounds the subject. We’ll briefly explain the theoretical principles of some popular algorithms. We’ll show you how to use them on selected sample datasets. You’ll get some experience actually mining data during this course, and afterwards you’ll be equipped to mine your own.

      WEKA originated at the University of Waikato in New Zealand. Its founder, prof. Ian H. Witten has authored a leading book on data mining. In this course, you'll be using WEKA. More detailed information on presented algorithms and methods can be found in the book (see the Additional Readings section of this course).

      Have fun!


    • Teacher of this course

      assist. prof. Branko Kavšek
      e-mail: branko.kavsek@upr.si
      web: https://www.famnit.upr.si/sl/zaposleni-in-sodelavci/branax/