2026-04-17T17:39:25.928Z http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai

ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai:1:3402 2015-10-31T21:33:35Z 1

Data mining techniques for student timetable optimization 2015 ISBN 978-99955-763-6-3 http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/1/3402 http://infoteh.etf.unssa.rs.ba/zbornik/2015/radovi/RSS-3/RSS-3-4.pdf M. Ilić S. Ilić M. Veinović Z. Milivojević B. Prlinčević Timetabling represents a complex problem that is a part of everyday human life and work. The key question is how to create the best timetable for some specific purpose? Student timetable scheduling is one of the challenging time consuming problems for all academic institutions. Big problem is how to automatically create timetable and optimize it. For this purpose data mining techniques can be used. Authors in this paper describe the key constrains for students timetable creation and propose data mining algorithm for timetable optimization. conferenceObject 578 583 Зборник Радова - XIV međunarodni naučno-stručni simpozijum INFOTEH-JAHORINA 2015