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Realtime Data Mining: Self-Learning Techniques for Recommendation Engines - Applied and Numerical Harmonic Analysis 1st ed. 2013, Corr. 2nd printing 2014 edition
Alexander Paprotny
Realtime Data Mining: Self-Learning Techniques for Recommendation Engines - Applied and Numerical Harmonic Analysis 1st ed. 2013, Corr. 2nd printing 2014 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.
297 pages, 88 black & white illustrations, 12 colour illustrations, 28 black & white tables, biograp
Media | Boeken Hardcover Book (Boek met harde rug en kaft) |
Vrijgegeven | 16 december 2013 |
Datum oorspronkelijke uitgave | 2014 |
ISBN13 | 9783319013206 |
Uitgevers | Birkhauser Verlag AG |
Pagina's | 313 |
Afmetingen | 158 × 243 × 24 mm · 653 g |
Taal en grammatica | Frans |
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