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Big Data Analytics for Time-Critical Mobility Forecasting: From Raw Data to Trajectory-Oriented Mobility Analytics in the Aviation and Maritime Domains 2020 edition
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Big Data Analytics for Time-Critical Mobility Forecasting: From Raw Data to Trajectory-Oriented Mobility Analytics in the Aviation and Maritime Domains
Next, Part III describes solutions toward processing and managing big spatio-temporal data, particularly enriching data streams and integrating streamed and archival data to provide coherent views of mobility, and storing of integrated mobility data in large distributed knowledge graphs for efficient query-answering.
361 pages, 100 Illustrations, color; 26 Illustrations, black and white; XXXII, 361 p. 126 illus., 10
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2020. gada 24. jūnijs |
| ISBN13 | 9783030451639 |
| Izdevēji | Springer Nature Switzerland AG |
| Lapas | 361 |
| Izmēri | 150 × 220 × 20 mm · 730 g |
| Valoda | Vācu |
| Redaktors | Andrienko, Gennady |
| Redaktors | Artikis, Alexander |
| Redaktors | Cordero, Jose Manuel |
| Redaktors | Doulkeridis, Christos |
| Redaktors | Jousselme, Anne-Laure |
| Redaktors | Pelekis, Nikolaos |
| Redaktors | Ray, Cyril |
| Redaktors | Scarlatti, David |
| Redaktors | Vouros, George A. |
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