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PPChecker: Plagiarism pattern checker in document copy detection

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dc.contributor.authorKang, N.O.-
dc.contributor.authorGelbukh, A.-
dc.contributor.authorHan, S.Y.-
dc.date.accessioned2023-03-09T00:31:16Z-
dc.date.available2023-03-09T00:31:16Z-
dc.date.issued2006-09-
dc.identifier.issn0302-9743-
dc.identifier.issn1611-3349-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/65415-
dc.description.abstractNowadays, most of documents are produced in digital format, in which they can be easily accessed and copied. Document copy detection is a very important tool for protecting the author's copyright. We present PPChecker, a document copy detection system based on plagiarism pattern checking. PPChecker calculates the amount of data copied from the original document to the query document, based on linguistically-motivated plagiarism patterns. Experiments performed on CISI document collection show that PPChecker produces better decision information for document copy detection than existing systems. © Springer-Verlag Berlin Heidelberg 2006.-
dc.format.extent7-
dc.language영어-
dc.language.isoENG-
dc.publisherSpringer Verlag-
dc.titlePPChecker: Plagiarism pattern checker in document copy detection-
dc.typeArticle-
dc.identifier.doi10.1007/11846406_83-
dc.identifier.bibliographicCitationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v.4188 LNCS, pp 661 - 667-
dc.description.isOpenAccessN-
dc.identifier.scopusid2-s2.0-33750236086-
dc.citation.endPage667-
dc.citation.startPage661-
dc.citation.titleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
dc.citation.volume4188 LNCS-
dc.type.docTypeConference Paper-
dc.publisher.location독일-
dc.subject.keywordAuthorDocument Copy Detection-
dc.subject.keywordAuthorPlagiarism Pattern-
dc.subject.keywordPlusDatabase systems-
dc.subject.keywordPlusDecision making-
dc.subject.keywordPlusInformation retrieval systems-
dc.subject.keywordPlusInformation use-
dc.subject.keywordPlusPattern recognition-
dc.subject.keywordPlusDocument Copy Detection-
dc.subject.keywordPlusLinguistically-motivated plagiarism patterns-
dc.subject.keywordPlusPlagiarism Pattern-
dc.subject.keywordPlusCopyrights-
dc.description.journalRegisteredClassscopus-
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