Learning from Imbalanced Data Sets
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portes grátis
Learning from Imbalanced Data Sets
Garcia, Salvador; Fernandez, Alberto; Galar, Mikel; Krawczyk, Bartosz; Herrera, Francisco; Prati, Ronaldo C.
Springer International Publishing AG
10/2018
382
Dura
Inglês
9783319980737
Pré-lançamento - envio 15 a 20 dias após a sua edição
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1 Introduction to KDD and Data Science.- 2 Foundations on Imbalanced Classification.- 3 Performance measures.- 4 Cost-sensitive Learning.- 5 Data Level Preprocessing Methods.- 6 Algorithm-level Approaches.- 7 Ensemble Learning.- 8 Imbalanced Classification with Multiple Classes.- 9 Dimensionality Reduction for Imbalanced Learning.- 10 Data Intrinsic Characteristics.- 11 Learning from Imbalanced Data Streams.- 12 Non-Classical Imbalanced Classification Problems.- 13 Imbalanced Classification for Big Data.- 14 Software and Libraries for Imbalanced Classification.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
1 Introduction to KDD and Data Science.- 2 Foundations on Imbalanced Classification.- 3 Performance measures.- 4 Cost-sensitive Learning.- 5 Data Level Preprocessing Methods.- 6 Algorithm-level Approaches.- 7 Ensemble Learning.- 8 Imbalanced Classification with Multiple Classes.- 9 Dimensionality Reduction for Imbalanced Learning.- 10 Data Intrinsic Characteristics.- 11 Learning from Imbalanced Data Streams.- 12 Non-Classical Imbalanced Classification Problems.- 13 Imbalanced Classification for Big Data.- 14 Software and Libraries for Imbalanced Classification.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
