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...
Salvato in:
| Autore principale: | |
|---|---|
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
Cham :
Springer International Publishing
[20..].
Cham : Springer Nature |
| Edizione: | 1st ed. 2013. |
| Serie: | Applied and Numerical Harmonic Analysis
|
| Accesso online: | Accès sur la plateforme de l'éditeur (Springer) Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
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 |