Realtime Data Mining: Self-Learning Techniques for Recommendation Engines - Applied and Numerical Harmonic Analysis - Alexander Paprotny - Books - Birkhauser Verlag AG - 9783319013206 - December 16, 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 Books     Hardcover Book   (Book with hard spine and cover)
Released December 16, 2013
Original release date 2014
ISBN13 9783319013206
Publishers Birkhauser Verlag AG
Pages 313
Dimensions 158 × 243 × 24 mm   ·   653 g
Language French  

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