An automatic extraction method of the domains of competence for learning classifiers using data complexity measures
Published 2013 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
An automatic extraction method of the domains of competence for learning classifiers using data complexity measures
Authors
Keywords
Classification, Data complexity, Domains of competence, C4.5, Support vector machines, K-nearest neighbor
Journal
KNOWLEDGE AND INFORMATION SYSTEMS
Volume 42, Issue 1, Pages 147-180
Publisher
Springer Nature
Online
2013-10-14
DOI
10.1007/s10115-013-0700-4
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Integrating Instance Selection, Instance Weighting, and Feature Weighting for Nearest Neighbor Classifiers by Coevolutionary Algorithms
- (2012) J. Derrac et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
- Analyzing the presence of noise in multi-class problems: alleviating its influence with the One-vs-One decomposition
- (2012) José A. Sáez et al. KNOWLEDGE AND INFORMATION SYSTEMS
- A weighted voting framework for classifiers ensembles
- (2012) Ludmila I. Kuncheva et al. KNOWLEDGE AND INFORMATION SYSTEMS
- Learner excellence biased by data set selection: A case for data characterisation and artificial data sets
- (2012) Núria Macià et al. PATTERN RECOGNITION
- Predicting noise filtering efficacy with data complexity measures for nearest neighbor classification
- (2012) José A. Sáez et al. PATTERN RECOGNITION
- Shared domains of competence of approximate learning models using measures of separability of classes
- (2011) Julián Luengo et al. INFORMATION SCIENCES
- SMOTE-RSB *: a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory
- (2011) Enislay Ramentol et al. KNOWLEDGE AND INFORMATION SYSTEMS
- Analysis of complexity indices for classification problems: Cancer gene expression data
- (2011) Ana C. Lorena et al. NEUROCOMPUTING
- Obtaining scalable and accurate classification in large-scale spatio-temporal domains
- (2010) Igor Vainer et al. KNOWLEDGE AND INFORMATION SYSTEMS
- Building binary-tree-based multiclass classifiers using separability measures
- (2010) Ana Carolina Lorena et al. NEUROCOMPUTING
- Fuzzy knowledge representation study for incremental learning in data streams and classification problems
- (2010) Albert Orriols-Puig et al. SOFT COMPUTING
- Addressing data complexity for imbalanced data sets: analysis of SMOTE-based oversampling and evolutionary undersampling
- (2010) Julián Luengo et al. SOFT COMPUTING
- Domains of competence of fuzzy rule based classification systems with data complexity measures: A case of study using a fuzzy hybrid genetic based machine learning method
- (2009) Julián Luengo et al. FUZZY SETS AND SYSTEMS
- Dataset complexity in gene expression based cancer classification using ensembles of k-nearest neighbors
- (2008) Oleg Okun et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets
- (2008) Alberto Fernández et al. FUZZY SETS AND SYSTEMS
- KEEL: a software tool to assess evolutionary algorithms for data mining problems
- (2008) J. Alcalá-Fdez et al. SOFT COMPUTING
- Evolutionary rule-based systems for imbalanced data sets
- (2008) Albert Orriols-Puig et al. SOFT COMPUTING
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now