@inproceedings{b4b384708d3d466ea370c34b943b609e,
title = "A distributed hierarchical clustering system for web mining",
abstract = "This paper proposes a novel method of distributed hierarchical clustering for Web mining. The method is closely related to our early work of SelfGenerated Neural Networks (SGNN), which is in turn based on both selforganizing neural network and concept formation. The complexity of the algorithm is at most O(MNlogN). With the distributed implementation the method can be easily scaled up. The method is independent of the order the web documents presented. The method produces a natural conceptual hierarchy but not a binary tree. The method can include multimedia information into the same cluster hierarchy. A visualization mechanism has been developed for the clustering method and it shows the cluster hierarchy generated by the method has very high quality. The clustering process is fully automatic, and no human intervention is required. A clustering system has been built based on the proposed method, which can be used to automatically generate multimedia search engines, web directories, decision-making assistance systems, knowledge management systems, and personalized knowledge portals.",
author = "Wen, {Catherine W.} and Huan Liu and Wen, {Wilson X.} and Jeffery Zheng",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2001.; 2nd International Conference on Web-Age Information Management, WAIM 2001 ; Conference date: 09-07-2001 Through 11-07-2001",
year = "2001",
doi = "10.1007/3-540-47714-4_10",
language = "English (US)",
isbn = "9783540477143",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "103--113",
editor = "Wang, {X. Sean} and Ge Yu and Hongjun Lu",
booktitle = "Advances in Web-Age Information Management - 2nd International Conference, WAIM 2001, Proceedings",
}