DocumentCode
3229065
Title
Improving Web Site Content Using a Concept-Based Knowledge Discovery Process
Author
Rios, Sebastian A. ; Velasquez, Juan D. ; Vera, Eduardo S. ; Yasuda, Hiroshi ; Aoki, Terumasa
Author_Institution
Appl. Inf. Eng. Lab., Tokyo Univ.
fYear
2006
fDate
Dec. 2006
Firstpage
361
Lastpage
365
Abstract
Nowadays many organizations and enterprises have a Web site to help accomplish several business goals from sales to customer support. A very important activity for today´s managers is how to improve the experience of visitors in their Web site and make it more effective. Several techniques that use knowledge from visitors´ browsing behavior have shown good results to perform such task. However, how to introduce semantics into Web usage mining techniques is still a challenge. This work presents a way to obtain a semantic classification of visitors´ sessions using a conceptual mining process. We performed experiments in a real Web site
Keywords
data mining; semantic Web; Web site content; Web usage mining technique; concept-based knowledge discovery process; conceptual mining process; semantic Web; Collaboration; Data mining; Frequency; Fuzzy logic; Industrial engineering; Knowledge engineering; Laboratories; Marketing and sales; Ontologies; Usability;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on
Conference_Location
Hong Kong
Print_ISBN
0-7695-2747-7
Type
conf
DOI
10.1109/WI.2006.98
Filename
4061395
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