The use of knowledge discovery in databases for analysis of the impact of demographic characteristics on the fulfillment of student obligations

Otkrivanje znanja u bazama podataka ključan je proces prilikom korištenja velikih baza podataka kako bi se predvidjeli budući scenariji, a samim time i donosile kvalitetnije odluke u poslovanju. Takav proces, na primjer, koristi se od strane banaka i osiguravajućih društava kako bi poboljšali svoj poslovni rezultat. Cilj ovog rada jest pojasniti pojam i tehnike ovoga procesa, ali i analizirati pomoću metode stabla odlučivanja ponašanje specifične dobne skupine studenata u današnjem visokoobrazovnom sustavu s obzirom na demografske čimbenike, a sve u svrhu otkrivanja karakteristika studenata Sveučilišta u Zagrebu koji svoje obaveze izvršavaju u roku propisanome od strane Sveučilišta.Knowledge discovery in databases is a key process when using large databases to predict future scenarios, and thus make better decisions in business. Such a process, for example, is used by banks and insurance companies to improve their business results. The aim of this paper is to explain the concept and techniques of this process, and to make analysis, using methods of decision tree, behavior of specific age groups of students in today's higher education system with respect to demographic factors, all in order to detect the characteristics of students at the University of Zagreb who will perform their duties within the deadline prescribed by the University