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

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.
9781466652026
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11368/2853919
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