Tipo de publicación: journal-article

Introduction

Emerging topics and challenges of learning from noisy data in nonstandard classification: a survey beyond binary class noise

Preface

CNC-NOS: Class noise cleaning by ensemble filtering and noise scoring

SMOTE–IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering

The Noise Filters R package: Label noise preprocessing in R

Evaluating the classifier behavior with noisy data considering performance and robustness: The Equalized Loss of Accuracy measure

INFFC: An iterative class noise filter based on the fusion of classifiers with noise sensitivity control

Tutorial on practical tips of the most influential data preprocessing algorithms in data mining

A data mining software package including data preparation and reduction: Keel