Cargando…
Application of Imbalanced Data Classification Quality Metrics as Weighting Methods of the Ensemble Data Stream Classification Algorithms
In the era of a large number of tools and applications that constantly produce massive amounts of data, their processing and proper classification is becoming both increasingly hard and important. This task is hindered by changing the distribution of data over time, called the concept drift, and the...
Autores principales: | Wegier, Weronika, Ksieniewicz, Pawel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517449/ https://www.ncbi.nlm.nih.gov/pubmed/33286620 http://dx.doi.org/10.3390/e22080849 |
Ejemplares similares
-
Clustering and Weighted Scoring in Geometric Space Support Vector Machine Ensemble for Highly Imbalanced Data Classification
por: Ksieniewicz, Paweł, et al.
Publicado: (2020) -
Employing One-Class SVM Classifier Ensemble for Imbalanced Data Stream Classification
por: Klikowski, Jakub, et al.
Publicado: (2020) -
Standard Decision Boundary in a Support-Domain of Fuzzy Classifier Prediction for the Task of Imbalanced Data Classification
por: Ksieniewicz, Pawel
Publicado: (2020) -
Heterogeneous Ensemble Combination Search Using Genetic Algorithm for Class Imbalanced Data Classification
por: Haque, Mohammad Nazmul, et al.
Publicado: (2016) -
Iterative ensemble feature selection for multiclass classification of imbalanced microarray data
por: Yang, Junshan, et al.
Publicado: (2016)