Title :
Vocabulary spectral analysis as an exploratory tool for scientific Web intelligence
Author_Institution :
Sch. of Comput. & Inf. Technol., Wolverhampton Univ., UK
Abstract :
A key scientific Web intelligence goal is to produce visualizations of academic Web spaces in order to reveal subject structures and identify relationships between different fields. We introduce an exploratory technique, vocabulary spectral analysis, designed to build intuition to help design effective procedures for clustering. We apply VSA to New Zealand University Web sites. The results suggest that subject-based academic Web site clustering is possible but requires extensive data filtering to give effective subject-based clusters.
Keywords :
Internet; Web sites; data mining; data visualisation; information filtering; pattern clustering; vocabulary; New Zealand University Web sites; VSA; Web mining; academic Web site clustering; data filtering; exploratory tool; scientific Web intelligence; subject-based clusters; vocabulary spectral analysis; Abstracts; Clustering algorithms; Data mining; Data visualization; Information technology; Intelligent structures; Space technology; Spectral analysis; Vocabulary; Web mining;
Conference_Titel :
Information Visualisation, 2004. IV 2004. Proceedings. Eighth International Conference on
Print_ISBN :
0-7695-2177-0
DOI :
10.1109/IV.2004.1320191
