A coarse-to-fine framework to efficiently thwart plagiarism

Pattern Recognition

Volumn 44, Issue 2, 2011, Pages 471-487

  Zhang, Haijun ^a   Chow, Tommy W S ^a  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Document retrieval; EMD; Multilevel matching; Plagiarism detection

Indexed keywords

COARSE-TO-FINE; COMPUTATIONALLY EFFICIENT; DIMENSIONALITY REDUCTION TECHNIQUES; DOCUMENT RETRIEVAL; EARTH MOVER'S DISTANCE; EMD; EMPIRICAL STUDIES; EXPERIMENTAL VERIFICATION; HIGH-DIMENSIONAL; LATENT SEMANTICS; MULTI-LEVEL STRUCTURES; MULTILEVEL MATCHING; PLAGIARISM DETECTION; RELEVANT DOCUMENTS; SYSTEM RESPONSE; SYSTEMATIC FRAMEWORK;

INFORMATION RETRIEVAL;

EID: 77957997341     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2010.08.023     Document Type: Article

References (45)

1. T.C. Hoad, and J. Zobel Methods for identifying versioned and plagiarized documents Journal of the American Society for Information Science and Technology 54 3 2003 203 215
2. Tommy W.S. Chow, and M.K.M. Rahman Multi-layer SOM with tree structured data for efficient document retrieval and plagiarism detection IEEE Transactions on Neural Networks 20 9 2009 1385 1402
3. Tommy W.S. Chow, Haijun Zhang, and M.K.M. Rahman A new document representation using term frequency and vectorized graph connectionists with application to document retrieval Expert Systems with Applications 36 2009 12023 12035
4. Haijun Zhang, Tommy W.S. Chow, and M.K.M. Rahman A new dual wing harmonium model for document retrieval Pattern Recognition 42 11 2009 2950 2960
5. G. Salton, M. McGill, Introduction to Modern Information Retrieval 1983 McGraw-Hill
6. S. Deerwester, and S. Dumais Indexing by latent semantic analysis Journal of the American Society of Information Science 41 6 1990 391 407
7. T. Hofmann, Probabilistic latent semantic indexing, in: Proceedings of the Twenty-Second Annual International SIGIR Conference, 1999.
8. D. Blei, A. Ng, and M. Jordan Latent Dirichlet allocation Journal of Machine Learning Research 3 2003 993 1022
9. M. Welling, M. Rosen-Zvi, G. Hinton, Exponential family harmoniums with an application to information retrieval. In: Advances in Neural Information Processing Systems, vol. 17, MIT Press, Cambridge, MA, 2004, pp. 14811488.
10. P. Gehler, A. Holub, M. Welling, The rate adapting Poisson model for information retrieval and object recognition, in: Proceedings of the 23rd International Conference on Machine Learning, Pittsburgh, PA, 2006.
11. R.B. Yates, and B.R. Neto Modern Information Retrieval 1999 Addison Wesley Longman
12. S.M. Chen, Y.J. Horng, and C.H. Lee Document retrieval using fuzzy-valued concept networks IEEE Transactions on Systems, Man, and Cybernetics B 31 1 2001 111 118
13. J. Bear, D. Israel, J. Petit, D. Martin, Using information extraction to improve document retrieval, in: Proceedings of the Sixth Text Retrieval Conference (TREC 6), Gathiersburg, MD, November 1997, pp. 367377.
14. R. Gaizauskas, and Y. Wilks Information extraction: beyond document retrieval Journal of Documentation 54 1 1998 70 105
15. A. Georgakis, C. Kotropoulos, A. Xafopoulos, and I. Pitas Marginal median SOM for document organization and retrieval Neural Networks 17 3 2004 365 377
16. K. Lagus Text retrieval using self-organizing document maps Neural Processing Letters 15 2002 21 29
17. M.K.M. Rahman, P.Y. Wang, T.W.S. Chow, and S.T. Wu. A flexible multi-layer self-organizing map for generic processing of tree-structured data Pattern Recognition 40 5 2007 1406 1424
18. N. Rooney, D. Patterson, M. Galushka, and V. Dobrynin. A scalable document clustering approach for large document corpora Information Processing and Management 42 5 2006 1163 1175
19. L.A.F. Park, K. Ramamohanarao, and M. Palaniswami. A novel document retrieval method using the discrete wavelet transform ACM Transactions on Information Systems 23 3 2005 267 298 (Pubitemid 43906377)
20. Y. Yang, J. O. Pedersen, A comparative study on feature selection in text categorization, in: Proceedings of the International Workshop on Machine Learning, 1997.
21. M. Steinbach, G. Karypis, V. Kumar, A comparison of document clustering techniques, in: Proceedings of the KDD Workshop on Text Mining, 2000.
22. F. Sebastiani Machine learning in automated text categorization ACM Computing Surveys 34 1 2002 1 47
23. M. Fuketa, S. Lee, T. Tsuji, M. Okada, and J. Aoe. A document classification method by using field association words Information Sciences 126 14 2000 57 70
24. C.M. Tan, Y.F. Wang, and C.D. Lee. The use of bigrams to enhance text categorization Information Processing and Management 38 4 2002 529 546
25. M.L. Antonie, O.R. Zaiane, Text document categorization by term association, in: Proceedings of the IEEE International Conference on Data Mining (ICDM2002), 2002, pp. 1926.
26. A. Selamat, and S. Omatu Web page feature selection and classification using neural networks Information Sciences 158 2004 69 88
27. L.M. Manevitz, and M. Yousef. One-class SVMs for document classification Journal of Machine Learning Research 2 2001 139 154
28. S. Singh, and L. Dey. A new customized document categorization scheme using rough membership Applied Soft Computing 5 4 2005 373 390
29. N. Bouguila Clustering of count data using generalized Dirichlet multinomial distributions IEEE Transactions on Knowledge and Data Engineering 20 4 2008 462 474
30. X. Cui, J. Gao, and T.E. Potok. A flocking based algorithm for document clustering analysis Journal of Systems Architecture 52 89 2006 505 515
31. B. C. M. Fung, K. Wang, M. Ester, Hierarchical document clustering using frequent itemsets, in: Proceedings of the Third SIAM International Conference on Data Mining, 2003, pp. 5970.
32. S.L. Bang, J.D. Yang, and H.J. Yang Hierarchical document categorization with k-NN and concept-based thesauri Information Processing and Management 42 2006 387 406
33. A. Parker, and J.O. Hamblen Computer algorithms for plagiarism detection IEEE Transactions on Education 32 2 1989 94 99
34. S. Brin, J. Davis, H. Garcia-Molina, Copy detection mechanisms for digital documents, in: Proceedings of the of The ACM SIGMOD Annual Conference, 1995, pp. 398409.
35. N. Shivakumar, H. Garcia-Molina, Building a scalable and accurate copy detection mechanism, in: Proceedings of the First ACM Conference on Digital Libraries (DL'96), Bethesda, MD, 1996, pp. 160168.
36. K. Monostori, A. Zaslavsky, H. Schmidt, MatchDetectReveal: finding overlapping and similar digital documents, in: Proceedings of the 2000 Information Resources Management Association International Conference on Challenges of Information Technology Management in the 21st Century, Anchorage, Alaska, United States, 2000, pp. 955957.
37. N. Heintze, Scalable document fingerprinting, in: Proceedings of the Second USENIX Workshop on Elctronic Commerce, Oakland, CA, November, 1996, pp. 1821.
38. R.A. Finkel, A. Zaslavsky, K. Monostori, H. Schmidt, Signature extraction for overlap detection in documents, in: Proceedings of the 25th Australasian Conference on Computer Science, Melbourne, Victoria, 2002, pp. 5764.
39. Sven Meyer zu Eißen, Benno Stein, Marion Kulig, Plagiarism detection without reference collections, in: Reinhold Decker, Hans J. Lenz (Eds.), Advances in Data Analysis, 2007, pp. 359366.
40. Alberto Barrn-Cedeo, Paolo Rosso, On automatic plagiarism detection based on n-grams comparison, in: Boughanem et al. (Eds.), ECIR 2009, Lecture Notes in Computer Science, vol. 5478, pp. 696700.
41. A. Si, H.V. Leong, R.W.H. Lau, CHECK: a document plagiarism detection system, in: Proceedings of the ACM Symposium for Applied Computing, February 1997, pp. 7077.
42. Esben Høgh-Rasmussen BBToolsa Matlab Toolbox for Black-Box Computations, Neurobiology Research Unit 2005 Copenhagen University Hospital URL: 〈 http://nru.dk/software/bbtools/ 〉
43. Y. Rubner, C. Tomasi, and L.J. Guibas. The Earth Mover's Distance as a metric for image retrieval International Journal of Computer Vision 40 2 2000 99 121
44. Francesc Serratosa, and Alberto Sanfeliu Signatures versus histograms: definitions, distances and algorithms Pattern Recognition 39 5 2006 921 934
45. X. Gao, B. Xiao, D. Tao, and X. Li Image categorization: graph edit distanceedge direction histogram Pattern Recognition 41 10 2008 3179 3191