Enhancing an Incremental Clustering Algorithm for Web Page Collections
Data(s) |
15/09/2009
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Resumo |
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%. |
Formato |
application/pdf |
Identificador | |
Publicador |
IEEE Computer Society |
Relação |
http://eprints.qut.edu.au/29739/2/29739.pdf DOI:10.1109/WI-IAT.2009.236 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. |
Direitos |
Copyright 2009 IEEE |
Fonte |
Faculty of Science and Technology |
Palavras-Chave | #080699 Information Systems not elsewhere classified #080704 Information Retrieval and Web Search #Incremental Clustering #Web |
Tipo |
Conference Paper |