Subject: Expert Systems and Tools for Knowledge Management (12 - I835)


Basic Information

CategoryScientific-professional
Scientific or art field:Information-Communication Systems
InterdisciplinaryNo
ECTS4
Course specification
To impart basic knowledge in the domain of data mining.
Upon successful completion of the course the students will have acquired knowledge and skills that will enable them to efficiently apply basic techniques of artificial intelligence and machine learning to mine data. They will be introduced to various aspects of computers as data mining tools, structural pattern discovery, presentation and use of knowledge discovered.
The course will cover the following areas: an overview of the basic concepts of data mining, data sources and preprocessing, decision trees, neural networks, support vector machines, clustering, time series analysis. Theoretical instruction will be accompanied by practical training in the use of open source data mining solutions.
Auditory and laboratory, semestral paper and oral exam.
AuthorsNameYearPublisherLanguage
Dubravko ĆulibrkOtkrivanje znanja iz podataka: Odabrana poglavlja2012CreateSpaceSerbian language
Ian H. Witten, Eibe Frank, Mark A. HallData Mining: Practical Machine Learning Tools and Techniques2011Morgan KaufmannEnglish
Course activity Pre-examination ObligationsNumber of points
ProjectYesYes40.00
Oral part of the examNoYes60.00
Name and surnameForm of classes
Missing picture!

Ćulibrk Dubravko
Full Professor

Lectures
Missing picture!

Stefanović Darko
Associate Professor

Computational classes