| Autor: |
Bechchi, Mounir, Voglozin, Amenel, Raschia, Guillaume, Mouaddib, Noureddine |
| Přispěvatelé: |
Laboratoire d'Informatique de Nantes Atlantique (LINA), Mines Nantes (Mines Nantes)-Université de Nantes (UN)-Centre National de la Recherche Scientifique (CNRS), Complex data management in distributed systems (ATLAS), Université de Nantes (UN)-Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), INRIA |
| Jazyk: |
angličtina |
| Rok vydání: |
2008 |
| Předmět: |
|
| Zdroj: |
[Research Report] RR-6770, INRIA. 2008, pp.29 |
| Popis: |
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 |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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