prikaz prve stranice dokumenta Automatska detekcija plagijata
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master's thesis
Automatska detekcija plagijata
2015. urn:nbn:hr:211:107455
Vukušić, Marko
University of Zagreb
Faculty of Organization and Informatics
Department of Information Systems Development

Cite this document

Vukušić, M. (2015). Automatska detekcija plagijata (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:211:107455

Vukušić, Marko. "Automatska detekcija plagijata." Master's thesis, University of Zagreb, Faculty of Organization and Informatics, 2015. https://urn.nsk.hr/urn:nbn:hr:211:107455

Vukušić, Marko. "Automatska detekcija plagijata." Master's thesis, University of Zagreb, Faculty of Organization and Informatics, 2015. https://urn.nsk.hr/urn:nbn:hr:211:107455

Vukušić, M. (2015). 'Automatska detekcija plagijata', Master's thesis, University of Zagreb, Faculty of Organization and Informatics, accessed 01 April 2023, https://urn.nsk.hr/urn:nbn:hr:211:107455

Vukušić M. Automatska detekcija plagijata [Master's thesis]. Varaždin: University of Zagreb, Faculty of Organization and Informatics; 2015 [cited 2023 April 01] Available at: https://urn.nsk.hr/urn:nbn:hr:211:107455

M. Vukušić, "Automatska detekcija plagijata", Master's thesis, University of Zagreb, Faculty of Organization and Informatics, Varaždin, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:211:107455

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Metadata
TitleAutomatska detekcija plagijata
Title (english)Automatic plagiarism detection
AuthorMarko Vukušić
MentorValentina Kirinić (mentor)
MBZ: 218651
Committee memberDiana Šimić
MBZ: 125756
GranterUniversity of Zagreb
Faculty of Organization and Informatics
(Department of Information Systems Development)
Varaždin
Defense date and country2015-09-28, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Organization and Informatics
Abstract
U radu je opisana automatska detekcija plagijata kao olakšani način otkrivanja plagijata i njegovog sprječavanja. U teoretskom dijelu rada utvrđeno je što je to plagijat, koje su vrste plagijata, kako ispravno citirati, opisani su zakonski aspekti plagiranja, opisane su vrste i stilovi citiranja. Praktični dio sastoji se od analize i usporedbe alata za automatsku detekciju plagijata. U sklopu praktičnog dijela prikazani su i rezultati ankete među studentima o njihovim razmišljanjima i stavovima vezanim uz plagiranje.
Keywords
Languagecroatian
URN:NBNurn:nbn:hr:211:107455
Study programmeTitle: Database and Knowledge Base Studies
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra informatike (magistar/magistra informatike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) icon
Created on2017-01-26 12:48:23