Enhancing an Incremental Clustering Algorithm for Web Page Collections

Shaw, Gavin, Xu, Yue, & Geva, Shlomo (2009) Enhancing an Incremental Clustering Algorithm for Web Page Collections. In 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, IEEE Computer Society, University of Milano, Milan, pp. 81-84.

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With the size and state of the Internet today, a good quality approach to organizing this mass of information is of great importance. Clustering web pages into groups of similar documents is one approach, but relies heavily on good feature extraction and document representation as well as a good clustering approach and algorithm. Due to the changing nature of the Internet, resulting in a dynamic dataset, an incremental approach is preferred. In this work we propose an enhanced incremental clustering approach to develop a better clustering algorithm that can help to better organize the information available on the Internet in an incremental fashion. Experiments show that the enhanced algorithm outperforms the original histogram based algorithm by up to 7.5%.

Impact and interest:

2 citations in Scopus
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1 citations in Web of Science®

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ID Code: 29739
Item Type: Conference Paper
Refereed: Yes
Keywords: Incremental Clustering, Web
DOI: 10.1109/WI-IAT.2009.236
ISBN: 9780769538013
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Information Systems not elsewhere classified (080699)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > LIBRARY AND INFORMATION STUDIES (080700) > Information Retrieval and Web Search (080704)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2009 IEEE
Deposited On: 19 Jan 2010 23:12
Last Modified: 29 Feb 2012 14:11

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