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  • 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 fewer dimensions 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 comparison of the result, in which represent the result as picture that easier to be analyzed. 2011 IEEE.
  • 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 fewer dimensions 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 comparison of the result, in which represent the result as picture that easier to be analyzed. 2011 IEEE. (en)
Title
  • Using kohonen maps and singular value decomposition for plagiarism detection
  • Using kohonen maps and singular value decomposition for plagiarism detection (en)
skos:prefLabel
  • Using kohonen maps and singular value decomposition for plagiarism detection
  • Using kohonen maps and singular value decomposition for plagiarism detection (en)
skos:notation
  • RIV/61989100:27240/11:86085191!RIV13-MSM-27240___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6198910027)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 237348
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27240/11:86085191
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Tools and techniques; Search tools; Search time; Plagiarism detection; matrix; Local matching; Clustering methods; Area of interest (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [DC8724975171]
http://linked.open...v/mistoKonaniAkce
  • Bali
http://linked.open...i/riv/mistoVydani
  • New York
http://linked.open...i/riv/nazevZdroje
  • Proceedings - 3rd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2011
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Snášel, Václav
  • Abdulla, Hussam
  • El Tahir Ali, A. M.
  • Vondrák, Ivo
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/CICSyN.2011.25
http://purl.org/ne...btex#hasPublisher
  • IEEE
https://schema.org/isbn
  • 978-0-7695-4482-3
http://localhost/t...ganizacniJednotka
  • 27240
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