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

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....

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Bibliographische Detailangaben
1. Verfasser:	Pabarskaite, Z.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Cleaning Data analysis Data mining Data visualization Exact sciences and technology Filtering Information and communication sciences Information retrieval systems. Information and document management system Information science. Documentation Information systems Mathematics Sciences and techniques of general use Web mining Web page design Web server
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Beschreibung
Zusammenfassung:	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.
ISSN:	1330-1012
DOI:	10.1109/ITI.2002.1024660