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.
Translated title of the contribution | Copying case detection with data mining |
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Original language | Turkish |
Title of host publication | 2nd International Conference on Computer Science and Engineering, UBMK 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 430-434 |
Number of pages | 5 |
ISBN (Electronic) | 9781538609309 |
DOIs | |
Publication status | Published - 31 Oct 2017 |
Externally published | Yes |
Event | 2nd International Conference on Computer Science and Engineering, UBMK 2017 - Antalya, Turkey Duration: 5 Oct 2017 → 8 Oct 2017 |
Publication series
Name | 2nd International Conference on Computer Science and Engineering, UBMK 2017 |
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Conference
Conference | 2nd International Conference on Computer Science and Engineering, UBMK 2017 |
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Country/Territory | Turkey |
City | Antalya |
Period | 5/10/17 → 8/10/17 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.