PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

The method for detecting plagiarism in a collection of documents

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The development of the intelligent system for searching for plagiarism by combining two algorithms of searching fuzzy duplicate is considered in this article. This combining contributed to the high computational efficiency. Another advantage of the algorithm is its high efficiency when small-sized documents are compared. The practical use of the algorithm makes it possible to improve the quality of the detection of plagiarism. Also, this algorithm can be used in different systems text search.
Rocznik
Strony
56--66
Opis fizyczny
Bibliogr. 16 poz., fig., tab.
Twórcy
  • Lviv Polytechnic National University, Lviv, Ukraine, S. Bandery Str., 12, Lviv, 79013
  • Lviv Polytechnic National University, Lviv, Ukraine, S. Bandery Str., 12, Lviv, 79013
autor
Bibliografia
  • [1] Park S.-T., Pennock D., Lee Giles C., Krovetz R.: Analysis of Lexical Signatures for Finding Lost or Related Documents. Finland, 2002, p. 8.
  • [2] Nіkol's'kij J., Pasіchnik V., Shherbina J.: Sistemi shtuchnogo іntelektu. Vidavnictvo Magnolіja-2006, L'vіv 2010, p. 279.
  • [3] Zelenkov J., Segalovich I.: Sravnitel'nyj analiz metodov opredelenija nechetkih dublikatov dlja Web-dokumentov. Devjataja konferencija KSB, 2007.
  • [4] Katrenko A.: Systemnyj analiz: pidruchnyk z gryfom MON. Magnolija-2006, L'viv 2009, p. 352.
  • [5] Maurer H., Kappe F., Zaka B.: Plagiarism – A Survey. Journal of Universal Computer Sciences, Vol. 12, No. 8, 2006, pp. 1050–1084.
  • [6] The Open Archives Initiative Protocol for Metadata Harvesting Protocol Version 2.0 of 2002-06-14. http://www.openarchives.org /OAI/2.0/openarchivesprotocol.htm
  • [7] Hrytsenko V.: Ynformatsyonnye tekhnolohy: tendentsyy, puty razvytyia. Upravliaiushchye systemy u mashyny, No. 5, 2001, pp. 3–20.
  • [8] Kraiovskyi V.: Osnovni pidkhody do rozroblennia prohramnoho kompleksu avtomatychnoho referuvannia tekstovykh dokumentiv [in:] Kraiovskyi V. I., Lytvyn V. V., Shakhovska N. B., Zbirnyk naukovykh prats NAN Ukrainy, Instytut problem modeliuvannia v enerhetytsi, No. 51, Kyiv, 2009, pp. 178–186.
  • [9] Park S.-T., Pennock D., Lee Giles C., Krovetz R.: Analysis of Lexical Signatures for Finding Lost or Related Documents. Finland 2002, p. 8.
  • [10] Kołcz A., Chowdhury A., Alspector J.: Improved Robustness of Signature-Based Near-Replica Detection via Lexicon Randomization. KDD, 2004.
  • [11] Broder A.: Identifying and Filtering Near-Duplicate Documents. COM’00, Proceedings of the 11th Annual Symposium on Combinatorial Pattern Matching, 2000, pp. 1–10.
  • [12] Berson T.: Differential Cryptanalysis Mod 232 with Applications to MD5. EUROCRYPT. http://dl.acm.org/citation.cfm?id=1754956.
  • [13] Hahn U., Mani I: The Challenges of Automatic Summarization. Computer, Vol.33, No. 11, 2000, pp. 29–36.
  • [14] Document Understanding Conferences (DUC): Web site, 2008. http://duc.nist.gov. 15.10.2011.
  • [15] Alyiguliev R.: Avtomaticheskoe referirovanie dokumentov s izvlecheniem informativnyih predlozheniy. Vyichislitelnyie tehnologii, Vol. 12, No. 5, 2007, pp. 5–15.
  • [16] Yang C., Wang F.: Fractal Summarization for Mobile Devices to Access Large Documents on the Web. Proc. of the WWW2003, May 20-24, 2003, Budapest, pp. 26–31.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-2ea12e05-cbf5-4759-9f1b-6da248889c8f
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.