Survey of plagiarism detection methods
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F11%3A86085192" target="_blank" >RIV/61989100:27240/11:86085192 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/AMS.2011.19" target="_blank" >http://dx.doi.org/10.1109/AMS.2011.19</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/AMS.2011.19" target="_blank" >10.1109/AMS.2011.19</a>
Alternative languages
Result language
angličtina
Original language name
Survey of plagiarism detection methods
Original language description
Plagiarism has become one area of interest for researchers due to its importance, and its fast growing rates. In this paper we are going to survey and list the advantage sand disadvantages of the latest and the important effective methods used or developed in automatic plagiarism detection, according to their result. Mainly methods used in natural language text detection, index structure, and external plagiarism detection and clustering - based detection. 2011 IEEE.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
AMS 2011 : Asia Modelling Symposium 2011 : Fifth Asia International Conference on Mathematical Modelling and Computer Simulation : proceedings
ISBN
978-0-7695-4414-4
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
39-42
Publisher name
IEEE Conference Publishing Services
Place of publication
Piscataway, NJ
Event location
Kuala Lumpur
Event date
May 23, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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