A critical issue in representing, querying and mining data streams consists of the fact that they are intrinsically multi-level and multidimensional in nature, hence they require to be analyzed by means of multi-level and multi-resolution (analysis) models accordingly. Furthermore, it is a matter of fact to note that enormous data flows generated by a collection of stream sources naturally require to be processed by means of advanced analysis/mining models, beyond traditional solutions provided by primitive SQL-based DBMS interfaces, and very often high-performance computational infrastructures, like Data Grids, are advocated to provide the necessary support to this end.
OLAP over Uncertain and Imprecise Data Streams
CUZZOCREA, Alfredo Massimiliano
2014-01-01
Abstract
A critical issue in representing, querying and mining data streams consists of the fact that they are intrinsically multi-level and multidimensional in nature, hence they require to be analyzed by means of multi-level and multi-resolution (analysis) models accordingly. Furthermore, it is a matter of fact to note that enormous data flows generated by a collection of stream sources naturally require to be processed by means of advanced analysis/mining models, beyond traditional solutions provided by primitive SQL-based DBMS interfaces, and very often high-performance computational infrastructures, like Data Grids, are advocated to provide the necessary support to this end.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
