2026-06-22T12:09:19.403Z http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai

ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai:1:9576 2023-10-05T10:41:05Z 1

Application of machine learning to the problem of Internet addiction in the student population 2023 004.738.5:316.774-057.875 http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/1/9576 https://eubd.edu.ba/MNS/XI%20TOM%20IV%20B5.pdf G. Radić V. Dedić S. Anđelić The paper treats the problem of Internet addiction as an important element of the modern era. Machine learning techniques can be applied to the classification of respondents and the determination of the degree of addiction and the assessment of the causes of the addiction itself. Early detection of the signs of Internet addiction can help to overcome this problem more quickly and effectively. The application of clustering methods to determine significant characteristics of Internet addiction is shown. conferenceObject 207 214 XI International conference - Humanity before the challenge of artificial intelligence