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Similarity based on data compression

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86088863" target="_blank" >RIV/61989100:27240/13:86088863 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27740/13:86088863

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-642-45111-9_24" target="_blank" >http://dx.doi.org/10.1007/978-3-642-45111-9_24</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-642-45111-9_24" target="_blank" >10.1007/978-3-642-45111-9_24</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Similarity based on data compression

  • Original language description

    Similarity detection is one of the most important areas in document processing. The applications of it starts in spam detection and goes through identification of plagiarism in the web, bachelor or master thesis and ends at identification of copied scientific papers. This paper presents an improvement of a plagiarism detection algorithm which is based on the Lampel and Ziv dictionary based compression algorithm by application of stop words removing and tests this algorithm on real dataset. Moreover, a visualization of the plagiarized documents relationship is also presented. The algorithm confirms its ability in detection of the plagiarized parts of text and also the achieved improvement when the suggested improvements are applied.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2013

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Lecture Notes in Computer Science. Volume 8266

  • ISBN

    978-3-642-45110-2

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

    267-278

  • Publisher name

    Springer Verlag

  • Place of publication

    London

  • Event location

    Mexico City

  • Event date

    Nov 24, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article