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Realtime Data Mining: Self-Learning Techniques for Recommendation Engines - Applied and Numerical Harmonic Analysis Alexander Paprotny Softcover reprint of the original 1st ed. 2013 edition
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Realtime Data Mining: Self-Learning Techniques for Recommendation Engines - Applied and Numerical Harmonic Analysis
Alexander Paprotny
Describing novel mathematical concepts for recommendation engines, Realtime Data Mining: Self-Learning Techniques for Recommendation Engines features a sound mathematical framework unifying approaches based on control and learning theories, tensor factorization, and hierarchical methods.
336 pages, 12 black & white illustrations, 88 colour illustrations, 28 black & white tables, biograp
| Medij | Knjige Paperback Book (Knjiga z mehkimi platnicami in lepljenim hrbtom) |
| Izdano | 27. avgusta 2016 |
| ISBN13 | 9783319344454 |
| Založniki | Birkhauser Verlag AG |
| Strani | 313 |
| Dimenzije | 155 × 235 × 18 mm · 476 g |
| Jezik | Nemščina |
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