Ensemble of classifier chains and Credal C4.5 for solving multi-label classification

Serafín Moral‐García; Carlos J. Mantas; Javier G. Castellano; Joaquín Abellán

doi:10.1007/s13748-018-00171-x

ScienceGate Book Chapters

JOURNAL ARTICLE

Ensemble of classifier chains and Credal C4.5 for solving multi-label classification

Serafín Moral‐García Carlos J. Mantas Javier G. Castellano Joaquín Abellán

Year: 2019 Journal: Progress in Artificial Intelligence Vol: 8 (2)Pages: 195-213 Publisher: Springer Science+Business Media

DOI: 10.1007/s13748-018-00171-x

Get Full-Text PDF Get Analytical Report

Keywords:

Classifier (UML) Computer science Artificial intelligence Pattern recognition (psychology) Binary number Binary classification Machine learning Data mining Algorithm Mathematics Support vector machine

Metrics

Cited By

2.15

FWCI (Field Weighted Citation Impact)

Refs

0.89

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Machine Learning and Data Classification

Physical Sciences → Computer Science → Artificial Intelligence

Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Ensemble of classifier chains and Credal C4.5 for solving multi-label classification

Metrics

Citation History

Topics

Related Documents

Using Credal C4.5 for Calibrated Label Ranking in Multi-Label Classification

Using Credal-C4.5 with Binary Relevance for Multi-Label Classification

Classifier Chains for Multi-label Classification

Classifier chains for multi-label classification

Ensemble of classifier chains and decision templates for multi-label classification