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Realtime data mining : self-learning techniques for recommendation angines

Realtime data mining : self-learning techniques for recommendation angines

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...

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書誌詳細
第一著者:	Paprotny, Alexander
フォーマット:	Livre numérique
言語:	Anglais
出版事項:	Cham : Springer International Publishing [20..]. Cham : Springer Nature
版:	1st ed. 2013.
シリーズ:	Applied and Numerical Harmonic Analysis
オンライン･アクセス:	Accès sur la plateforme de l'éditeur (Springer) Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL
注記:	Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale)
Autres localisations:	Voir dans le Sudoc
Edition sous un autre format:	• Realtime Data Mining, Texte imprimé, 9783319013206 • Realtime Data Mining, Texte imprimé, 9783319013220 • Realtime Data Mining, Texte imprimé, 9783319344454

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