Skip to Main content Skip to Navigation
Reports

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
Document type :
Reports
Complete list of metadata

Cited literature [26 references]  Display  Hide  Download

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

File

RR-6770.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : inria-00346540, version 1

Collections

Citation

Mounir Bechchi, Amenel Voglozin, Guillaume Raschia, Noureddine Mouaddib. Multi-Dimensional Grid-Based Clustering of Fuzzy Query Results. [Research Report] RR-6770, INRIA. 2008, pp.29. ⟨inria-00346540⟩

Share

Metrics

Record views

293

Files downloads

271