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Realtime Data Mining: Self-Learning Techniques for Recommendation Engines - Applied and Numerical Harmonic Analysis Softcover reprint of the original 1st ed. 2013 edition
Alexander Paprotny
Realtime Data Mining: Self-Learning Techniques for Recommendation Engines - Applied and Numerical Harmonic Analysis Softcover reprint of the original 1st ed. 2013 edition
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
Mídia | Livros Paperback Book (Livro de capa flexível e brochura) |
Lançado | 27 de agosto de 2016 |
ISBN13 | 9783319344454 |
Editoras | Birkhauser Verlag AG |
Páginas | 313 |
Dimensões | 155 × 235 × 18 mm · 476 g |
Idioma | German |
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