Alexander Paprotny
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

Name: Realtime Data Mining: Self-Learning Techniques for Recommendation Engines - Applied and Numerical Harmonic Analysis
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Author: Alexander Paprotny

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1st ed. 2013. Corr. 2nd printing 2014 edition

(2013) SEK 1.099

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

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	Böcker Pocketbok (Bok med mjukt omslag och limmad rygg)
Releasedatum	27 augusti 2016
ISBN13	9783319344454
Utgivare	Birkhauser Verlag AG
Antal sidor	313
Mått	155 × 235 × 18 mm · 476 g
Språk	Tyska