Clustering template based web documents

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4956 LNCS, Issue , 2008, Pages 40-51

  Gottron, Thomas ^a  

^a JOHANNES GUTENBERG UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; DATA STRUCTURES; DECISION TREES; WEB SERVICES;

TEMPLATE STRUCTURES; WEB DOCUMENTS;

INFORMATION RETRIEVAL SYSTEMS;

EID: 41849126735     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-78646-7_7     Document Type: Conference Paper

References (18)

1. Bar-Yossef, Z., Rajagopalan, S.: Template detection via data mining and its applications. In: WWW 2002: Proceedings of the 11th International Conference on World Wide Web, pp. 580-591. ACM: Press, New York (2002)
2. Yang, G., Ramakrishnan, I.V., Kifer, M.: On the complexity of schema inference from web pages in the presence of nullable data attributes. In: CIKM 2003: Proceedings of the twelfth International Conference on Information and Knowledge Management, pp. 224-231. ACM Press, New York (2003)
3. Lin, S.H., Ho, J.M.: Discovering informative content blocks from web documents. In: KDD 2002: Proceedings of the eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 588-593. ACM Press, New York (2002)
4. Debnath, S., Mitra, P., Giles, C.L.: Automatic extraction of informative blocks from webpages. In: SAC 2005, pp. 1722-1726. ACM Press, New York (2005)
5. Yi, L., Liu, B., Li, X.: Eliminating noisy information in web pages for data mining. In: KDD 2003: Proceedings of the ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 296-305. ACM Press, New York (2003)
6. Reis, D.C., Golgher, P.B., Silva, A.S., Laender, A.F.: Automatic web news extraction using tree edit distance. In: WWW 2004: Proceedings of the 13th International Conference on World Wide Web, pp. 502-511. ACM Press, New York (2004), doi:10.1145/988672.988740
7. Gibson, D., Punera, K., Tomkins, A.: The volume and evolution of web page templates. In: WWW 2005: Special Interest Tracks and Posters of the 14th International Conference on World Wide Web, pp. 830-839. ACM Press, New York (2005)
8. Chakrabarti, D., Kumar, R., Punera, K.: Page-level template detection via isotonic smoothing. In: WWW 2007: Proceedings of the 16th International Conference on World Wide Web, pp. 61-70. ACM Press, New York (2007)
9. Cruz, I.F., Borisov, S., Marks, M.A., Webbs, T.R.: Measuring structural similarity among web documents: preliminary results. In: Porto, V.W., Waagen, D. (eds.) EP 1998. LNCS, vol. 1447, pp. 513 524. Springer, Heidelberg (1998)
10. Buttler, D.: A short survey of document structure similarity algorithms. In: IC 2004: Proceedings of the International Conference on Internet Computing, pp. 3-9. CSREA Press (2004)
11. Broder, A.Z., Glassman, S.C., Manasse, M.S., Zweig, G.: Syntactic clustering of the web. Computer Networks 29(8-13), 1157-1166 (1997)
12. Joshi, S., Agrawal, N., Krishnapuram, R., Negi, S.: A bag of paths model for measuring structural similarity in web documents. In: KDD 2003: Proceedings of the ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 577-582. ACM Press, New York (2003)
13. Lindholm, T., Kangasharju, J., Tarkoma, S.: Fast and simple XML tree differencing by sequence alignment. In: DocEng 2006: Proceedings of the 2006 ACM Symposium on Document Engineering, pp. 75-84. ACM Press, New York (2006)
14. Shi, L., Niu, C., Zhou, M., Gao, J.: A DOM tree alignment model for mining parallel data from the web. In: ACL 2006: Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the ACL, Morristown, NJ, USA, Association for Computational Linguistics, pp. 489-496 (2006)
15. Liu, B.: Web Data Mining - Exploring Hyperlinks, Contents, and Usage Data. Springer, Heidelberg (2007)
16. Kruskal, J.B.: Nonmetric multidimensional scaling: A numerical method. Psychometrika 29(2), 115-129 (1964)
17. Rand, W.M.: Objective criteria for the evaluation of clustering methods. Journal of the American Statistical Association 66(336), 846-850 (1971)
18. Strehl, A., Ghosh, J., Mooney, R.: Impact of similarity measures on web-page clustering. In: AAAI 2000: Proceedings of the 17th National Conference on Artificial Intelligence: Workshop of Artificial Intelligence for Web Search, AAAI, pp. 58-64 (2000)