Implementing advanced cleaning and end-user interpretability technologies in Web log mining

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.