Using kohonen maps and singular value decomposition for plagiarism detection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F11%3A86085191" target="_blank" >RIV/61989100:27240/11:86085191 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/CICSyN.2011.25" target="_blank" >http://dx.doi.org/10.1109/CICSyN.2011.25</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CICSyN.2011.25" target="_blank" >10.1109/CICSyN.2011.25</a>
Alternative languages
Result language
angličtina
Original language name
Using kohonen maps and singular value decomposition for plagiarism detection
Original language description
Plagiarism has become one area of interest for re-searchers due to its importance, and its fast growing rates. Effective clustering methods and faster search tools for matching and discovering the similarities between documents were the main two areas for the researchers. Many tools and techniques have been developed for plagiarism detection. In this paper we use singular value decomposition for its effective clustering of the documents in-order to reduce search time by creating a new matrix with fewerdimensions used for clustering the original (source) documents, and we use Neural Networks for local matching and comparison between a suspicious document and a source document, Kohonen maps (Self-organizing maps (SOM)) used to visualized and comparisonof the result, in which represent the result as picture that easier to be analyzed. 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
Proceedings - 3rd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2011
ISBN
978-0-7695-4482-3
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
60-64
Publisher name
IEEE
Place of publication
New York
Event location
Bali
Event date
Jul 26, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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