Evolutionary undersampling for imbalanced big data classification.
Isaac TrigueroMikel GalarSarah VluymansChris CornelisHumberto BustinceFrancisco HerreraYvan SaeysPublished in: CEC (2015)
Keyphrases
- big data
- class imbalance
- cloud computing
- business intelligence
- data analysis
- machine learning
- big data analytics
- imbalanced datasets
- text classification
- predictive modeling
- class distribution
- high volume
- support vector machine
- vast amounts of data
- data management
- training data
- massive data
- decision trees
- data processing
- training set
- feature selection
- data sets
- active learning
- massive datasets
- metadata
- statistical learning
- cost sensitive
- data warehousing
- supervised learning
- object oriented
- social media