Data-driven possible-worlds semantics for OLAP over uncertain and imprecise multidimensional data streams

Conference Paper
Publication Date:
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.
Iris type:
04.01 Contributo in Atti di convegno
List of contributors:
Handle:
https://iris.cnr.it/handle/20.500.14243/286014
Book title:
22nd Italian Symposium on Advanced Database Systems, SEBD 2014, Sorrento Coast, Italy, June 16-18, 2014.