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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.
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| 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/20.500.11770/312467 |
| ISBN: | 9781466652026 |
| Appare nelle tipologie: | 2.1 Contributo in volume (Capitolo o Saggio) |
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