ArTS Archivio della ricerca di Trieste
ArTS è il sistema di gestione integrata dei dati della ricerca adottato dall' Università degli Studi di Trieste
EnglishA 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.
| Titolo: | OLAP over Uncertain and Imprecise Data Streams |
| Autori: | |
| Data di pubblicazione: | 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. |
| Handle: | http://hdl.handle.net/11368/2853919 |
| ISBN: | 9781466652026 |
| Appare nelle tipologie: | 2.1 Contributo in Volume (Capitolo,Saggio) |