Clustering with random indexing K-tree and XML structure
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.
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.
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|Item Type:||Conference Paper|
|Additional Information:||See additional URL to download software.|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Pattern Recognition and Data Mining (080109)|
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 > Schools > Computer Science|
Past > QUT Faculties & Divisions > Faculty of Science and Technology
Current > Research Centres > High Performance Computing and Research Support
|Copyright Owner:||Copyright 2010 Springer|
|Copyright Statement:||This is the author-version of the work. Conference proceedings published, by Springer Verlag, will be available via http://www.springer.de/comp/lncs/|
|Deposited On:||02 Aug 2010 09:57|
|Last Modified:||01 Mar 2012 00:17|
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