Space-time roll-up and drill-down into geo-trend stream cubes

  • Authors:
  • Anna Ciampi;Annalisa Appice;Donato Malerba;Angelo Muolo

  • Affiliations:
  • Department of Computer Science, University of Bari "Aldo Moro", Bari, Italy;Department of Computer Science, University of Bari "Aldo Moro", Bari, Italy;Department of Computer Science, University of Bari "Aldo Moro", Bari, Italy;Rodonea® s.r.l., Bari, Italy

  • Venue:
  • ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

We define a new kind of stream cube, called geo-trend stream cube, which uses trends to aggregate a numeric measure which is streamed by a sensor network and is organized around space and time dimensions. We specify space-time roll-up and drill-down to explore trends at coarse grained and inner grained hierarchical view.