Exploration of fuzzy C means clustering algorithm in external plagiarism detection system

Advances in Intelligent Systems and Computing

Volumn 384, Issue , 2016, Pages 127-138

  Ravi, N Riya ^a   Vani, K ^a   Gupta, Deepa ^a  

^a AMRITA SCHOOL OF ENGINEERING   (India)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84945933818     PISSN: 21945357     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-319-23036-8_11     Document Type: Conference Paper

References (19)

1. ‘A Plagiarism FAQ’ IEEE. http://www.ieee.org/publications_standards/publications/rights/plagiarism_FAQ.html
2. Alzahrani, S.M., Salim, N., Abraham, A.: Understanding Plagiarism Linguistic Patterns, Textual Features, and Detection Methods. IEEE Transactions on Systems, Man, and Cybernetics—Part C: Applications and Reviews 42(2) (2012)
3. Ceska, Z.: The future of copy detection techniques. In: Proceedings of the First Young Researchers Conference on Applied Sciences, pp. 5-10 (2007)
4. Freedman, J.: The Ombudsman as Go-Between. In: The Fourth Annual Report of the Office of the Ombudsman (1974-1975)
5. Osman A H., Salim, N., Bin Wahlan, S., Hentabli, H., Ali, A.M.: Conceptual similarity and graph-based method for plagiarism detection. Journal of Theoretical and Applied Information Technology 32(2), 135-145 (2011)
6. Alzahrani, S., Salim, N.: Fuzzy Semantic-based String Similarity for Extrinsic Plagiarism Detection. CLEF (Notebook Papers/LABs/Workshops) (2010)
7. Ekbal, A., Saha, S., Choudhary, G.: Plagiarism Detection in Text using Vector Space Model. IEEE Transactions on Systems, Man, and Cybernetics—Part C: Applications and Reviews 42(2) (2012)
8. Naseem, R., Kurian, S.: Extrinsic Plagiarism Detection in Text Combining Vector Space Model and Fuzzy Semantic Similarity Scheme. International Journal of Advanced Computing, Engineering and Application (IJACEA) 2(6) (2013) ISSN: 2319-281X
9. Osmana, A.H., Salima, N., Binwahlan, M.S., Alteeb, R., Abuobiedaa, A.: An improved plagiarism detection scheme based on semantic role labeling. In: Applied Soft Computing 12 (2012)
10. Barrón-Cedeño, A., Rosso, P.: On Automatic Plagiarism Detection Based on n-Grams Comparison. In: ECIR Proceedings of the 31st European Conference on IR Research on Advances in Information Retrieval, pp. 696-700 (2009)
11. Shang, C., Li, M., Feng, S., Jiang, Q., Fan, J.: Feature selection via maximizing global information gain for text classification. KnowledgeBased Systems 54, 298-309 (2013)
12. Bijalwan, V., Kumar, V., Kumari, P., Pascual, J.: KNN based Machine Learning Approach for Text and Document Mining. International Journal of Database Theory and Application 7(1), 61-70 (2014)
13. Uysal, A.K., Gunal, S.: Text classification using genetic algorithm oriented latent semantic features. Expert Syst. Appl. 41, 5938-5947 (2014)
14. Buana, P.W., Jannet, S., Putra, I.: Combination of K-Nearest Neighbor and K-Means based on Term Re-weighting for Classify Indonesian News. International Journal of Computer Applications 50(11) (2012)
15. Šilić, A., Moens, M.-F., Žmak, L., Bašić, B.D.: Comparing Document Classification Schemes Using K-Means Clustering. In: Lovrek, I., Howlett, R.J., Jain, L.C. (eds.) KES 2008, Part I. LNCS (LNAI), vol. 5177, pp. 615-624. Springer, Heidelberg (2008)
16. Pappuswamy, U., Bhembe, D., Jordan, P.W., VanLehn, K.: A Supervised Clustering Method for Text Classification. In: Gelbukh, A. (ed.) CICLing 2005. LNCS, vol. 3406, pp. 704-714. Springer, Heidelberg (2005)
17. Miao, Y., Kešelj, V., Milios, E.: Document Clustering using Character N-gram: A Comparitive Evaluation with Term-based and Word-based Clustering. In: ACM International Conference on Information and Knowledge Management, pp. 357-358 (2005)
18. Vani, K., Gupta, D.: Using K-means Cluster based Techniques in External Plagiarism Detection. In: Proceedings of International Conference on Contemporary Computing and Informatics (IC3I), pp. 27-29 (2014)
19. Potthast, M., Hagen, M., Gollub, T., Tippmann, M.: Overview of 5th International Competition on Plagiarism Detection. In: CLEF 2013 Evaluation Labs and Workshop- Working Notes Papers, pp. 23-26 (2014), ISBN 978-88-904810-3-1, ISSN 2038-4963