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Knowledge Discovery from Multi-Sourced Data - SpringerBriefs in Computer Science Chen Ye 1st ed. 2022 edition
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Knowledge Discovery from Multi-Sourced Data - SpringerBriefs in Computer Science
Chen Ye
This book addresses several knowledge discovery problems on multi-sourced data where the theories, techniques, and methods in data cleaning, data mining, and natural language processing are synthetically used.
83 pages, 9 Illustrations, color; 5 Illustrations, black and white; XII, 83 p. 14 illus., 9 illus. i
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2022. gada 15. jūnijs |
| ISBN13 | 9789811918780 |
| Izdevēji | Springer Verlag, Singapore |
| Lapas | 83 |
| Izmēri | 150 × 220 × 10 mm · 163 g |
| Valoda | Angļu |
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