ISBN: 9783319344454 - realtime data mining: self-learning techniques for recommendation engines (applied and numerical harmonic analysis) (5 Ergebnisse)

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Furthermore, it presents promising results of numerous experiments on real-world data. The area of realtime data mining is currently developing at an exceptionally dynamic pace, and realtime data mining systems are the counterpart of today's 'classic' data mining systems. Whereas the latter learn from historical data and then use it to deduce necessary actions, realtime analytics systems learn and act continuously and autonomously. In the vanguard of these new analytics systems are recommendation engines. They are principally found on the Internet, where all information is available in realtime and an immediate feedback is guaranteed. This monograph appeals to computer scientists and specialists in machine learning, especially from the area of recommender systems, because it conveys a new way of realtime thinking by considering recommendation tasks as control-theoretic problems. Realtime Data Mining: Self-Learning Techniques for Recommendation Engines will also interest application-oriented mathematicians because it consistently combines some of the most promising mathematical areas, namely control theory, multilevel approximation, and tensor factorization.…

Taschenbuch. Zustand: Neu. Realtime Data Mining | Self-Learning Techniques for Recommendation Engines | Alexander Paprotny (u. a.) | Taschenbuch | Applied and Numerical Harmonic Analysis | xxiii | Englisch | 2016 | Springer | EAN 9783319344454 | Verantwortliche Person für die EU: Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Zustand: New. Series: Applied and Numerical Harmonic Analysis. Num Pages: 336 pages, 12 black & white illustrations, 88 colour illustrations, 28 black & white tables, biograp. BIC Classification: PBWH; PDE; UFM. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 18. Weight in Grams: 522. . 2016. Softcover reprint of the original 1st ed. 2013. Paperback. . . . . Books ship from the US and Ireland. …

Paperback. Zustand: Brand New. reprint edition. 340 pages. 9.25x6.10x0.80 inches. In Stock.