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Web 2.0 OLAP: From data cubes to tag clouds [r-libre/226]

Aouiche, Kamel; Lemire, Daniel et Godin, Robert (2009). Web 2.0 OLAP: From data cubes to tag clouds. Dans Web Information Systems and Technologies. 4th International Conference, WEBIST 2008, Funchal, Madeira, Portugal, May 4-7, 2008, Revised Selected Papers. Springer, coll. « Lecture Notes in Business Information Processing », vol. 18.

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  PDF - 0905.2657v1.pdf
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Catégorie de document : Chapitres de livres
Évaluation par un comité de lecture : Oui
Étape de publication : Publié
Résumé : Increasingly, business projects are ephemeral. New Business Intelligence tools must support ad-lib data sources and quick perusal. Meanwhile, tag clouds are a popular community-driven visualization technique. Hence, we investigate tag-cloud views with support for OLAP operations such as roll-ups, slices, dices, clustering, and drill-downs. As a case study, we implemented an application where users can upload data and immediately navigate through its ad hoc dimensions. To support social networking, views can be easily shared and embedded in other Web sites. Algorithmically, our tag-cloud views are approximate range top-k queries over spontaneous data cubes. We present experimental evidence that iceberg cuboids provide adequate online approximations. We benchmark several browser-oblivious tag-cloud layout optimizations.
Déposant: Lemire, Daniel
Responsable : Daniel Lemire
Dépôt : 28 juill. 2014 18:25
Dernière modification : 16 juill. 2015 00:47

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