Title :
Implementing advanced cleaning and end-user interpretability technologies in Web log mining
Author :
Pabarskaite, Zidrina
Author_Institution :
Sch. of Comput. Inf. Syst. & Math., South Bank Univ., London, UK
Abstract :
Two new approaches to Web log mining are presented. Novel advanced cleaning improves Web log mining results. Improved filtering removes pages with no links from other pages. In the data visualisation phase, technical representations of Web pages are replaced by user attractive text interpretations. Experiments with the real world problems showed that the proposed techniques significantly increase the quality and usefulness of Web log mining results.
Keywords :
Internet; data mining; data recording; data visualisation; information resources; Web log mining; cleaning technology; data visualisation; end-user interpretability technology; user attractive text interpretations; Cleaning; Data analysis; Data mining; Data visualization; Filtering; Information systems; Mathematics; Web mining; Web page design; Web server;
Conference_Titel :
Information Technology Interfaces, 2002. ITI 2002. Proceedings of the 24th International Conference on
Print_ISBN :
953-96769-5-9
DOI :
10.1109/ITI.2002.1024660
