Abstract | ||
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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. |
Year | DOI | Venue |
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2009 | 10.1007/978-3-642-01344-7_5 | Lecture Notes in Business Information Processing |
Keywords | Field | DocType |
OLAP,Data warehouse,Business intelligence,Tag cloud,Social web | Data warehouse,Data mining,World Wide Web,Social web,Computer science,Upload,Tag cloud,Web 2.0,Online analytical processing,Business intelligence,Database,Data cube | Journal |
Volume | ISSN | Citations |
18 | 1865-1348 | 11 |
PageRank | References | Authors |
0.81 | 32 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kamel Aouiche | 1 | 233 | 13.32 |
Daniel Lemire | 2 | 821 | 52.14 |
Robert Godin | 3 | 47 | 3.06 |