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Multi-Dimensional Grid-Based Clustering of Fuzzy Query Results
Abstract : In usual retrieval processes within large databases, the user formulates a first basic (broad) query to target and filter data and next, she starts browsing the answer looking for precise information. We then propose to perform an offline hierarchical grid-based clustering of the data set in order to quickly provide the user with concise, useful and structured answers as a starting point for an online exploration. Every single answer item describes a subset of the queried data in a user-friendly form using linguistic labels, that is to say it represents a concept that exists within the data. Moreover, answers of a given 'blind' query are nodes of a classification tree and every subtree rooted by an answer offers a 'guided tour' of a data subset to the user. Finally, an experimental study shows that our process is efficient in terms of computational time and achieves high quality clustering schemas of query results
Cited literature [26 references]
https://hal.inria.fr/inria-00346540
Contributor : Guillaume Raschia <>
Submitted on : Thursday, December 11, 2008 - 5:11:34 PM
Last modification on : Wednesday, April 11, 2018 - 1:57:36 AM
Long-term archiving on: : Tuesday, June 8, 2010 - 4:37:42 PM
Contributor : Guillaume Raschia <>
Submitted on : Thursday, December 11, 2008 - 5:11:34 PM
Last modification on : Wednesday, April 11, 2018 - 1:57:36 AM
Long-term archiving on: : Tuesday, June 8, 2010 - 4:37:42 PM
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RR-6770.pdf
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