Veri Madenciliǧi ile Kopya Olgusunun Tespiti

Translated title of the contribution: Copying case detection with data mining

Halil Hakan Tarhan, Nizamettin Aydin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 contributionCopying case detection with data mining
Original languageTurkish
Title of host publication2nd International Conference on Computer Science and Engineering, UBMK 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages430-434
Number of pages5
ISBN (Electronic)9781538609309
DOIs
Publication statusPublished - 31 Oct 2017
Externally publishedYes
Event2nd International Conference on Computer Science and Engineering, UBMK 2017 - Antalya, Turkey
Duration: 5 Oct 20178 Oct 2017

Publication series

Name2nd International Conference on Computer Science and Engineering, UBMK 2017

Conference

Conference2nd International Conference on Computer Science and Engineering, UBMK 2017
Country/TerritoryTurkey
CityAntalya
Period5/10/178/10/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

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