IRMAC: Interpretable Refined Motifs in Binary Classification for smart grid applications.
Rui YuanS. Ali PourmousaviWen L. SoongGiang NguyenJon A. R. LiisbergPublished in: Eng. Appl. Artif. Intell. (2023)
Keyphrases
- binary classification
- smart grid
- power system
- multi class
- support vector
- learning problems
- cost sensitive
- communication networks
- advanced metering infrastructure
- multi label
- communication systems
- information security
- generalization error
- security issues
- support vector machine
- prediction accuracy
- data center
- ensemble methods
- network security
- smart home
- data collection
- communication technologies
- machine learning
- class imbalance
- network management
- neural network
- data sets
- artificial neural networks
- text categorization
- computer vision
- pairwise
- computational intelligence
- supervised learning