Using SOFM to improve web site text content

Lecture Notes in Computer Science

Volumn 3611, Issue PART II, 2005, Pages 622-626

  Ríos, Sebastían A ^a   Velásquez, Juan D ^b   Vera, Eduardo S ^b,c   Yasuda, Hiroshi ^a   Aoki, Terumasa ^a  

^a UNIVERSITY OF TOKYO   (Japan)

^b UNIVERSITY OF CHILE   (Chile)

^c UNIVERSITY OF TOKYO   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION RETRIEVAL; VECTORS; WORLD WIDE WEB;

PAGE TEXT CONTENTS; REVERSE CLUSTERING ANALYSIS; SOFM;

ALGORITHMS;

EID: 26844528966     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11539117_88     Document Type: Conference Paper

References (11)

1. Berendt, B., Spiliopoulou, M.: Analysis of navigation behavior in web sites integrating multiple information systems. The VLDB journal. 9(2001)27-75.
2. Buyukkokten, O., Garcia-Molina, H. & Paepcke, A.: Seeing the whole in parts: text summarization for web browsing on handheld devices. Procs. 10th Int. Conf. on World Wide Web, Hong Kong. (2001) 652-662.
3. Chakrabarti, S.: Data mining for hypertext: A tutorial survey. SIGKDD Explorations: Newsletter of the Special Interest Group (SIG) on Knowledge Discovery & Data Mining. (2000).
4. Kosala, R., Blockeel, H.: Web Mining Research: A Survey. SIGKDD Explorations. 2(1)(2000)1-15.
5. Loh, S., Wives, L., de Oliveira, J. P. M.: Concept-based Knowledge Discovery in Texts Extracted from the Web. SIGKDD Explorations. 2(1)(2000) 2(1):29-39.
6. Nielsen, J.: User Interface directions for the web. Communications of ACM 42(1) (1999) 65-72.
7. Pal, S. K., Talwar, V., Mitra, P.: Web Mining in Soft Computing Framework: Relevance, state of the art and future directions, IEEE Transactions on Neural Networks. 13(5) (2002)1163-1177.
8. Salton, G., Wong, A., Yang, C. S.: A vector space model for automatic indexing. Communications of the ACM archive. 18(11) (1975)613-620.
9. Velásquez, J. D., Yasuda, H., Aoki, T., Weber, R., Vera, E.: Using self-organizing feature maps to acquire knowledge about visitor behavior in a web site. Lecture Notes in Artificial Intelligence. 2773(1)(2003)951-958.
10. Velásquez, J. D., Weber, R., Yasuda, H., Aoki, T.: A Methodology to Find Web Site Keywords. IEEE Int. Conf. on e-Technology, e-Commerce and e-Service Taipei, Taiwan, (2004)285-292.
11. Velásquez, J. D., Ríos, S., Bassi, A., Yasuda, H., Aoki, T.: Towards the identification of keywords in the web site text content: A methodological approach, International Journal of Web Information Systems. 1(1) (2005)11-15.