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국회도서관 홈으로 정보검색 소장정보 검색

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Plagiarism occurs when the content is copied without permission or citation, and the problem of plagiarism has rapidly increased because of the digital era of resources available on the World Wide Web. An important task in plagiarism detection is measuring and determining similar text portions between a given pair of documents. One of the main difficulties of this task is that not all similar text fragments are examples of plagiarism, since thematic coincidences also tend to produce portions of similar text. In order to handle this problem, this paper proposed association analysis in data mining to detect plagiarism. This method is able to detect common actions performed by plagiarists such as word deletion, insertion and transposition, allowing to obtain plausible portions of plagiarized text. Experimental results employing an unsupervised document classification strategy showed that the proposed method outperformed traditionally used approaches.

참고문헌 (29건) : 자료제공( 네이버학술정보 )

참고문헌 목록에 대한 테이블로 번호, 참고문헌, 국회도서관 소장유무로 구성되어 있습니다.
번호 참고문헌 국회도서관 소장유무
1 The Effects of Confirmation in Collective Intelligence Quality on Continuance Intention through Trust 소장
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3 Automated Conceptual Data Modeling Using Association Rule Mining 소장
4 신동호, LSA를 이용한 내용기반 검색엔진 시스템, 서울대학교석사학위논문, 2000. 미소장
5 Using Ontologies for Semantic Text Mining 소장
6 Document summarization using mutual recommendation with LSA and sense analysis 소장
7 정석경, 분포정보를이용한명사소프트클러스터링연구, 연세대학교석사학위논문, 1997. 미소장
8 정영미, 이재윤, “한국어 텍스트내 용어연관성분석을 위한 기초연구”, 제5회 한국정보관리학회 학술대회 논문집, 1998, pp. 243-246. 미소장
9 조준희, 한국어 문서 표절 검사를 위한 LSA와N-gram 기반의 유사 문장 판별, 고려대학교 석사학위 논문, 2009. 미소장
10 Automated Detecting and Tracing for Plagiarized Programs using Gumbel Distribution Model 소장
11 A Detection Method of Similar Sentences Considering Plagiarism Patterns of Korean Sentence 소장
12 Development of A Plagiarism Detection System Using Web Search and Morpheme Analysis 네이버 미소장
13 Ahmed H. Osmana, Naomie Salima, Mohammed S. Binwahlanc, Rihab Alteebd, Albaraa Abuobiedaa, "An improved plagiarism detection scheme based on semantic role labeling," Applied Soft Computing, Vol 12, 1012, pp. 1493-1502. 미소장
14 Mining Association Rules between Sets of Items in Large Databases 네이버 미소장
15 Asim M. El Tahir Ali, Hussam M. Dahwa Abdulla, Vaclav Snasel, "Survey of Plagiarism Detection Methods," 2011Fifth Asia Modelling Symposium Conference in Theory and Practice of Digital Libraries, 2011. 미소장
16 Brijs, T., Swinnen G., Vanhoof K., and Wets G., "Using Association Rules for Product Assortment Decisions: A Case Study,"Proceedings on KDD-99, ACM, San Diego, CA, USA, 1999, pp. 254-260. 미소장
17 Copy detection mechanisms for digital documents 네이버 미소장
18 Donaldson, J. L., Lancaster, A., and P. H. Sposato, “A plagiarism detection system,” Proceedings of the 20th SIGCSE. 1981, pp. 21-25. 미소장
19 Determining and characterizing the reused text for plagiarism detection 네이버 미소장
20 Text mining applied to plagiarism detection: The use of words for detecting deviations in the writing style 네이버 미소장
21 Georgina Cosma, Mike Joy, “Evaluating the Performance of LSA for Source-code Plagiarism Detection,” Informatica, Vol. 36, 2012, pp. 409-424. 미소장
22 Anxiety and the Archive: Understanding Plagiarism Detection Services as Digital Archives 네이버 미소장
23 Liu, Y. T., Zhang, H. R., Chen, T. W., & Teng, W. G., “Extending Web Search for Online Plagiarism Detection,” 1-4244-45004/07 IEEE, 2007. 미소장
24 Narayanan Shivakumar, “SCAM : A Copy Detection Mechanism for digital Documents,” Proceedings of 2nd International Conference in Theory and Practice of Digital Libraries, 1995. 미소장
25 Paul Clough, “Measuring Text Reuse,”Proceedings of the conference : Association for Computational Linguistics. Meeting, V.40, 2002, pp. 152-159. 미소장
26 Salha M. Alzahrani, Naomie Salim, and Ajith Abraham, "Understanding Plagiarism Linguistic Patterns, Textual Features, and Detection Methods," IEEE Transactions On Systems, Man, and Cybernetics—Part C: Applications and Reviews, Vol. 42, No. 2, 2012. 미소장
27 루씬 한글분석기 오픈소스 프로젝트, 미소장
28 http://cafe.naver.com/korlucene 미소장
29 Perez, J. C., http://www.itworld.co.kr 미소장