Özet
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.
| Tercüme edilen katkı başlığı | Copying case detection with data mining |
|---|---|
| Orijinal dil | Türkçe |
| Ana bilgisayar yayını başlığı | 2nd International Conference on Computer Science and Engineering, UBMK 2017 |
| Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
| Sayfalar | 430-434 |
| Sayfa sayısı | 5 |
| ISBN (Elektronik) | 9781538609309 |
| DOI'lar | |
| Yayın durumu | Yayınlandı - 31 Eki 2017 |
| Harici olarak yayınlandı | Evet |
| Etkinlik | 2nd International Conference on Computer Science and Engineering, UBMK 2017 - Antalya, Türkiye Süre: 5 Eki 2017 → 8 Eki 2017 |
Yayın serisi
| Adı | 2nd International Conference on Computer Science and Engineering, UBMK 2017 |
|---|
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| ???event.eventtypes.event.conference??? | 2nd International Conference on Computer Science and Engineering, UBMK 2017 |
|---|---|
| Ülke/Bölge | Türkiye |
| Şehir | Antalya |
| Periyot | 5/10/17 → 8/10/17 |
Bibliyografik not
Publisher Copyright:© 2017 IEEE.
Keywords
- Clustering
- Copying case or cheating detection on central examinations
- Data mining
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