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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
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
| Médias | Livres Paperback Book (Livre avec couverture souple et dos collé) |
| Validé | 27 août 2016 |
| ISBN13 | 9783319344454 |
| Éditeurs | Birkhauser Verlag AG |
| Pages | 313 |
| Dimensions | 155 × 235 × 18 mm · 476 g |
| Langue et grammaire | Allemand |