A5009754927- Data Mining Algorithms and Applications
- Rough Sets and Fuzzy Logic
- Machine Learning and Data Classification
- Imbalanced Data Classification Techniques
- Data Management and Algorithms
- Face and Expression Recognition
- Advanced Clustering Algorithms Research
- Machine Learning and Algorithms
- Text and Document Classification Technologies
- Industrial Vision Systems and Defect Detection
- Graph Theory and Algorithms
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Algorithms and Data Compression
- Fuzzy Logic and Control Systems
- Data Stream Mining Techniques
- Evolutionary Algorithms and Applications
- Neural Networks and Applications
- Electricity Theft Detection Techniques
- Image Processing and 3D Reconstruction
- Anomaly Detection Techniques and Applications
- Multi-Criteria Decision Making
- Semantic Web and Ontologies
- Web Data Mining and Analysis
- Software Testing and Debugging Techniques
National Institute of Astrophysics, Optics and Electronics
2015-2024
Advanced Technologies Application Center
2013
Laboratoire d'Informatique de Paris-Nord
2007-2008
Instituto Politécnico Nacional
1999-2001
Benemérita Universidad Autónoma de Puebla
1996
Nowadays, the international scientific community of machine learning has an enormous campaign in favor creating understandable models instead black-box models. The main reason is that experts application area are showing reluctance due to cannot be understood by them, and consequently, their results difficult explained. In unsupervised problems, where have not labeled objects, obtaining explanation necessary because specialists need understand both applied model as well obtained for finding...
Several oversampling methods have been proposed for solving the class imbalance problem. However, most of them require searching k-nearest neighbors to generate synthetic objects. This requirement makes time-consuming and therefore unsuitable large datasets. In this paper, an method problems that do not neighbors’ search is proposed. According our experiments on datasets with different sizes imbalance, at least twice as fast 8 fastest reported in literature while obtaining similar quality.