Data-driven possible-worlds semantics for OLAP over uncertain and imprecise multidimensional data streams
Contributo in Atti di convegno
Data di Pubblicazione:
2014
Abstract:
A novel framework for OLAP over uncertain and imprecise multidimensional data streams is introduced in this paper. The main contribution of this framework consists in a data-driven possible-worlds semantics which is innovative over state-of-the-art analysis.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Elenco autori:
Cuzzocrea, ALFREDO MASSIMILIANO
Link alla scheda completa:
Titolo del libro:
22nd Italian Symposium on Advanced Database Systems, SEBD 2014, Sorrento Coast, Italy, June 16-18, 2014.