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

Medie Bøger     Hardcover bog   (Bog med hård ryg og stift omslag)
Udgivet 16. december 2013
Oprindeligt udgivet 2014
ISBN13 9783319013206
Forlag Birkhauser Verlag AG
Antal sider 313
Mål 158 × 243 × 24 mm   ·   653 g
Sprog Fransk  

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