Copying case detection with data mining

Abstract

Central examinations are one of the measurement and evaluation tools used throughout the world to select from among the participants, to rank, to reduce the number of candidates before the interview or determine whether the level of education varies between regional and demographic criteria. A more objective measurement and evaluation can be made through the questioning of multiple choice questions compared to open ended questions. In this study, we present a data mining model proposed for the detection of copying cases at central examinations and a case analysis using this model.