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.
Data-driven possible-worlds semantics for OLAP over uncertain and imprecise multidimensional data streams
Cuzzocrea Alfredo;
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.File in questo prodotto:
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