Addressing the Big Data Multi-class Imbalance Problem with Oversampling and Deep Learning Neural Networks.
V. M. González-BarcenasEréndira RendónRoberto AlejoEverardo Efrén Granda GutiérrezRosa Maria ValdovinosPublished in: IbPRIA (1) (2019)
Keyphrases
- class imbalance
- big data
- deep learning
- neural network
- class distribution
- active learning
- unsupervised learning
- cloud computing
- data analysis
- data management
- machine learning
- cost sensitive
- high dimensionality
- majority class
- data processing
- feature selection
- business intelligence
- social media
- mental models
- pattern recognition
- concept drift
- minority class
- sampling methods
- data warehousing
- weakly supervised
- object recognition
- knowledge discovery
- database management systems
- data sets
- training data
- dimensionality reduction