Mar 25, 2019   11:38 p.m. Marián
Academic information system

Summary of topics offered - Faculty of Electrical Engineering and Information Technology


Basic information

Type of work: Bachelor thesis
Topic: Využitie technológií sémantického webu v oblasti strojového učenia
Title of topic in English: Usaging semantic web technologies in machine learning
State of topic: approved (prof. Dr. Ing. Miloš Oravec - Study programme supervisor)
Thesis supervisor: RNDr. Igor Kossaczký, CSc.
Faculty: Faculty of Electrical Engineering and Information Technology
Supervising department: Institute of Computer Science and Mathematics - FEEIT
Max. no. of students: 2
Academic year:2018/2019
Proposed by: RNDr. Igor Kossaczký, CSc.
Summary: Cieľom práce je vytvoriť prehľad o využití technológií sémantického webu v oblasti strojového učenia. Oboznámiť sa s princípmi induktívneho logického programovania a na vybratých dátových sadách ilustrovať možnosti využitia nástroja DL-Learner pre odhalovanie skryrých informácií.



Limitations of the topic

To sign up for a topic it is necessary to fulfil one of the following restrictions

Limit to study programme
The table shows limitations of study programme, field, track the student has to be enrolled in to be able to register for a given topic.

ProgrammeTrackTrack
B-API Applied Informatics-- not entered -- -- not entered --

Limit to courses
The table shows limitations of a course the student has to complete to be able to register for a given topic.

DepartmentCourse title
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