Atalay, VeliUstun, SuleymanBulbul, Selin2020-04-172020-04-172013Atalay, Veli; Ustun, Suleyman; Bulbul, Selin, "The Determination Of Socio-Economic Factors Affecting Student Success By Data Mining Methods", 2013 12th International Conference On Machine Learning and Applıcations (Icmla 2013), pp. 540-542, (2013).9780769551449https://doi.org/10.1109/ICMLA.2013.174The success of socio-economic level on students is a fact. The economic level and conditions combined with the student's potential make itself felt at the ultimate level. In this research, it was established that success and socio-economic factors which can attract the attention are effectively observed on particularly female students. It was ensured that a real and sound socio-economic criteria for success be determined by evaluating success and failure at terminal points. Decision trees and chi-square test were used in the implementation.eninfo:eu-repo/semantics/closedAccessData MiningDecision TreeIbm ModulerNavie BayesConference Object54054210.1109/ICMLA.2013.1742-s2.0-84899408765WOS:000353638700095N/AN/A