A fuzzy clustering approach for finding similar documents using a novel similarity measure

Expert Systems with Applications

Volumn 33, Issue 3, 2007, Pages 600-605

  Saraçoǧlu, Ridvan ^a   Tütüncü, Kemal ^a   Allahverdi, Novruz ^a  

^a SELCUK UNIVERSITY   (Turkey)

Author keywords

Distance based similarity; Document similarity; Fuzzy clustering; Fuzzy similarity measure; Text mining

Indexed keywords

FEATURE EXTRACTION; INFORMATION RETRIEVAL SYSTEMS; ONLINE SEARCHING; TEXT PROCESSING;

FEATURE VECTORS; MEASUREMENT SYSTEMS; TEXT MINING;

FUZZY CLUSTERING;

EID: 33847660060     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2006.06.002     Document Type: Article

References (29)

1. Apte, C., Damerau, P., & Weiss, S. (1998). Text mining with decision rules and decision trees. In Proceedings of the conference automated learning and discovery, CMU.
2. Clarke, C. L. A., Cormack, G. V., Kisman, D. I. E., & Lynam, T. R. (2000). Question answering by passage selection. In The ninth text retrieval conference, Gaithersburg.
3. Dhillon I.S., Fan J., and Guan Y. Efficient clustering of very large document collections. Data Mining for Scientific and Engineering Applications (2001)
4. Dumais, S., Platt, J., Heckerman, D., & Sahami, M. (1998). Inductive learning algorithm and representations for text categorization. In Proceedings of the 1998 ACM 7th international conference on information and knowledge management (pp. 148-155).
5. Elworthy, D. (2000). Question answering using a large NLP system. In The ninth text retrieval conference, Gaithersburg, 2000.
6. Guzman A. Finding the main themes in a Spanish document. Expert Systems with Applications 14 (1998) 139-148
7. Han J., and Kamber M. Data mining: concepts and techniques (2001), Morgan Kaufman Publishers
8. Ichino M., and Yaguchi H. Generalized Minkowski metria for mixed feature-ljpe data analysis. IEEE Transacti{dotless}ons On Systems, Man, and Cyberneti{dotless}cs 24 4 (1994)
9. Jones K., and Willett P. Readings in information retrieval (1997), Morgan Kaufmann Publishers
10. Joachims, T. (1997). Probabilistic analysis of the rocchio algorithm with TFIDF for text categorization. In Proceedings of the international conference on machine learning (ICML'97) (pp. 143-151).
11. Klose A., Nürnberger A., Kruse R., Hartmann G., and Richards M. Interactive text retrieval based on document similarities. Physics and Chemistry of the Earth (A) 25 8 (2000) 649-654
12. Kou, H., & Gardarin, G. (2002). Similarity model and term association for document categorization. In Proceedings of the 13th international workshop on database and expert systems applications (DEXA'02).
13. Martinez-Trinidad J.F., Beltran-Martinez B., and Ruiz-Shulcloper B. A tool to discover the main themes in a Spanish or English document. Expert Systems with Applications 19 (2000) 319-327
14. Masand, B., Linoff, G., & Waltz, D. (1992). Classifying news stories using memory based reasoning. In Proceedings of the 15th annual ACM/SIGIR conference on research and development in information retrieval (pp. 59-65).
15. Miyamoto S. Fuzzy sets in information retrieval and cluster analysis (1990), Kluwer Academic Publisher
16. Miyamoto, S. (2001). Fuzzy multisets and fuzzy clustering of documents. In Proceedings of the IEEE International Conference on Fuzzy Systems, FUZZ-IEEE.
17. Murata, M., Ma, Q., Uchimoto, K., Ozaku, H., Utiyama, M., & Isahara, H. (2000). Japanese probabilistic information retrieval using location and category information. In Proceedings of the fifth international workshop on information retrieval with Asian language.
18. Quinlan J.R. Induction of decision trees. Machine Learning Journal 1 (1986) 81-108
19. Sahami, M., Dumais S., Heckerman, D., & Horvitz, E. (1998). A Bayesian approach to filtering junk e-mail. In AAAI 98, workshops on text categorization.
20. Tan S. Neighbor-weighted K-nearest neighbor for unbalanced text corpus. Expert Systems with Applications 28 (2005) 667-671
21. Tan S. An effective refinement strategy for KNN text classifier. Expert Systems with Applications 30 (2005) 290-298
22. Thuraisingham B. Data mining: Technologies, techniques, tools, and trends (1999), CRC Press
23. Tzeras, K., & Hartmann, S. (1993). Automatic indexing based on Bayesian inference networks. In Proceedings of the 16th annual ACM/SIGIR conference on research and development in information retrieval (pp. 22-34).
24. Weng S.S., and Lin Y.J. A study on searching for similar documents based on multiple concepts and distribution of concepts. Expert Systems with Applications 25 3 (2003) 355-368
25. Weng S.S., and Liu C.K. Using text classification and multiple concepts to answer e-mails. Expert Systems with Applications 26 4 (2004) 529-543
26. Widyantoro D.H., and Yen J. A fuzzy similarity approach in text classification task (2000), IEEE
27. Wiener, E., Pederson, J., & Weigend, A. (1995). A neural network approach to topic spotting. In Fourth annual symposium on document analysis and information retrieval.
28. Yang H.C., and Lee C.H. A text mining approach on automatic generation of web directories and hierarchies. Expert Systems with Applications 27 (2004) 645-663
29. Yang H.C., and Lee C.H. A text mining approach on automatic construction of hypertexts. Expert Systems with Applications 29 (2005) 723-734