Learning from Imbalanced Data Sets
This book provides a general and comprehensible overview of imbalanced learning. It contains a formal description of a problem, and focuses on its main features, and the most relevant proposed solutions. Additionally, it considers the different scenarios in Data Science for which the imbalanced clas...
Κύριοι συγγραφείς: | Fernández, Alberto (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), García, Salvador (http://id.loc.gov/vocabulary/relators/aut), Galar, Mikel (http://id.loc.gov/vocabulary/relators/aut), Prati, Ronaldo C. (http://id.loc.gov/vocabulary/relators/aut), Krawczyk, Bartosz (http://id.loc.gov/vocabulary/relators/aut), Herrera, Francisco (http://id.loc.gov/vocabulary/relators/aut) |
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Συγγραφή απο Οργανισμό/Αρχή: | SpringerLink (Online service) |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
|
Έκδοση: | 1st ed. 2018. |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
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