Realtime Data Mining: Self-Learning Techniques for Recommendation Engines - Applied and Numerical Harmonic Analysis - Alexander Paprotny - Bøker - Birkhauser Verlag AG - 9783319013206 - 16. desember 2013
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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

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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

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 Bøker     Innbunden bok   (Bok med hard rygg og stivt omslag)
Utgitt 16. desember 2013
Opprinelig utgitt 2014
ISBN13 9783319013206
Utgivere Birkhauser Verlag AG
Antall sider 313
Mål 158 × 243 × 24 mm   ·   653 g
Språk Fransk  

Se alt med Alexander Paprotny ( f.eks. Innbunden bok og Pocketbok )