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Realtime Data Mining: Self-Learning Techniques for Recommendation Engines - Applied and Numerical Harmonic Analysis Alexander Paprotny 1st ed. 2013. Corr. 2nd printing 2014 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.
297 pages, 88 black & white illustrations, 12 colour illustrations, 28 black & white tables, biograp
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2013. gada 16. decembris |
| ISBN13 | 9783319013206 |
| Izdevēji | Birkhauser Verlag AG |
| Lapas | 313 |
| Izmēri | 158 × 243 × 24 mm · 682 g |
| Valoda | Franču |
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