Clustering with random indexing K-tree and XML structure
| Data(s) |
2010
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|---|---|
| Resumo |
This paper describes the approach taken to the clustering task at INEX 2009 by a group at the Queensland University of Technology. The Random Indexing (RI) K-tree has been used with a representation that is based on the semantic markup available in the INEX 2009 Wikipedia collection. The RI K-tree is a scalable approach to clustering large document collections. This approach has produced quality clustering when evaluated using two different methodologies. |
| Formato |
application/pdf |
| Identificador | |
| Publicador |
Springer |
| Relação |
http://eprints.qut.edu.au/33656/1/c33656.pdf DOI:10.1007/978-3-642-14556-8_40 De Vries, Christopher M., Geva, Shlomo, & De Vine, Lance (2010) Clustering with random indexing K-tree and XML structure. In Focused Retrieval and Evaluation : Proceedings of 8th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2009, Springer, Brisbane, Queensland, pp. 407-415. |
| Direitos |
Copyright 2010 Springer This is the author-version of the work. Conference proceedings published, by Springer Verlag, will be available via http://www.springer.de/comp/lncs/ |
| Fonte |
Computer Science; Faculty of Science and Technology; High Performance Computing and Research Support |
| Palavras-Chave | #080109 Pattern Recognition and Data Mining #080704 Information Retrieval and Web Search |
| Tipo |
Conference Paper |
