Multi-class imbalanced big data classification on Spark.
William C. Sleeman IVBartosz KrawczykPublished in: Knowl. Based Syst. (2021)
Keyphrases
- multi class
- big data
- single class
- binary classification problems
- multiclass classification
- support vector machine
- multi class classifier
- binary and multi class
- multi class classification
- binary classifiers
- multiple classes
- cost sensitive
- multi class boosting
- multi class problems
- multiclass problems
- feature selection
- multi class svm
- multi class svms
- protein classification
- data management
- cloud computing
- classification accuracy
- binary classification
- class imbalance
- machine learning
- social media
- data analysis
- pairwise
- support vector
- error correcting output codes
- binary classification tasks
- business intelligence
- decision trees
- feature space
- improve the classification accuracy
- base classifiers
- big data analytics
- class distribution
- class labels
- data processing
- case study
- imbalanced datasets
- kernel logistic regression
- text classification
- supervised learning
- probabilistic boosting tree
- decision support