Realtime Data Mining: Self-Learning Techniques for Recommendation Engines - Applied and Numerical Harmonic Analysis - Alexander Paprotny - Bøker - Birkhauser Verlag AG - 9783319344454 - 27. august 2016
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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

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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

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

Media Bøker     Pocketbok   (Bok med mykt omslag og limt rygg)
Utgitt 27. august 2016
ISBN13 9783319344454
Utgivere Birkhauser Verlag AG
Antall sider 313
Mål 155 × 235 × 18 mm   ·   476 g
Språk Tysk  

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