Automatic detection of social tag spams using a text mining approach

Proceedings - 2010 International Conference on Advances in Social Network Analysis and Mining, ASONAM 2010

Volumn , Issue , 2010, Pages 441-445

  Yang, Hsin Chang ^a   Lee, Chung Hong ^b  

^a NATIONAL UNIVERSITY OF KAOHSIUNG   (Taiwan)

^b NATIONAL KAOHSIUNG UNIVERSITY OF APPLIED SCIENCES   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

ANNOTATED WEB PAGES; AUTOMATIC DETECTION; MANUAL ANNOTATION; SOCIAL BOOKMARKING; TAG SPAM; TEXT MINING; WEB PAGE;

ELECTRIC NETWORK ANALYSIS;

WEBSITES;

EID: 77958173994     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASONAM.2010.11     Document Type: Conference Paper

References (17)

1. T. Vander Wal, "Folksonomy, " http://vanderwal.net/folksonomy. html 2007, [Online; accessed 10-April-2010].
2. P. Heymann, G. Koutrika, and H. Garcia-Molina, "Fighting spam on social web sites: A survey of approaches and future challenges, " IEEE Internet Computing, vol. 11, no. 6, pp. 36-45, 2007.
3. S. Deerwester, S. Dumais, G. Furnas, and K. Landauer, "Indexing by latent semantic analysis, " Journal of the American Society for Information Science, vol. 40, no. 6, pp. 391-407, 1990.
4. K. Church and P. Hanks, "Word association norms, mutual information, and lexicography, " Computational Linguistics, vol. 16, no. 1, pp. 22-29, 1990.
5. C. Fellbaum, WordNet: An Electronic Lexical Database. Cambridge, MA: MIT Press, 1998.
6. R. Cilibrasi and P. Vitanyi, "The Google similarity distance, " IEEE Trans. Knowledge and Data Engineering, vol. 19, no. 3, pp. 370-383, 2007.
7. T. Kohonen, Self-Organizing Maps. Berlin: Springer-Verlag, 1997.
8. G. Mishne, D. Carmel, and R. Lempel, "Blocking blog spam with language model disagreement, " in Proceedings of the 1st International Workshop on Adversarial Information Retrieval on the Web (AIRWeb '05), Chiba, Japan, 2005.
9. P. Kolari, T. Finin, and A. Joshi, "SVMs for the blogosphere: Blog identification and splog detection, " in AAAI Spring Symposium on Computational Approaches to Analysing Weblogs, Computer Science and Electrical Engineering. University of Maryland, Baltimore County, March 2006, also available as technical report TR-CS-05-13.
10. P. Kolari, A. Java, T. Finin, T. Oates, and A. Joshi, "Detecting spam blogs: A machine learning approach, " in Proceedings of the 21st National Conference on Artificial Intelligence (AAAI 2006), Computer Science and Electrical Engineering. University of Maryland, Baltimore County, July 2006.
11. C. Cattuto, C. Schmitz, A. Baldassarri, V. D. P. Servedio, V. Loreto, A. Hotho, M. Grahl, and G. Stumme, "Network properties of folksonomies, " AI Communications, vol. 20, no. 4, pp. 245-262, 2007.
12. G. Koutrika, F. A. Effendi, Z. Gyöngyi, P. Heymann, and H. Garcia-Molina, "Combating spam in tagging systems, " in Proceedings of the 3rd International Workshop on Adversarial Information Retrieval on the Web (AIRWeb '07), Banff, Canada, 2007, pp. 57-64.
13. B. Krause, C. Schmitz, A. Hotho, and G. Stumme, "The anti-social tagger - detecting spam in social bookmarking systems, " in Proceedings of the 4th International Workshop on Adversarial Information Retrieval on the Web (AIRWeb '08), Beijing, China, 2008, pp. 61-68.
14. Z. Gyöngyi, H. Garcia-Molina, and J. Pedersen, "Combating Web spam with TrustRank, " in Proc. 30th Very Large Databases Conference, Toronto, Canada, 2004, pp. 576-587.
15. C. Kim and K.-B. Hwang, "Naive Bayes classifier learning with feature selection for spam detection in social bookmarking, " in Proc. Europ. Conf. on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), Antwerp, Belgium, 2008.
16. T. Urvoy, T. Lavergne, and P. Filoche, "Tracking Web spam with hidden style similarity, " in Proceedings of the 2nd International Workshop on Adversarial Information Retrieval on the Web (AIRWeb '06), Seattle, WA, 2006, pp. 25-31.
17. G. Salton and M. J. McGill, Introduction to Modern Information Retrieval. New York: McGraw-Hill, 1983.