LCS-DIVE: An Automated Rule-based Machine Learning Visualization Pipeline for Characterizing Complex Associations in Classification.
Robert ZhangRachael Stolzenberg-SolomonShannon M. LynchRyan J. UrbanowiczPublished in: CoRR (2021)
Keyphrases
- machine learning
- machine learning methods
- automated classification
- pattern recognition
- machine learning algorithms
- machine learning approaches
- decision trees
- text classification
- supervised classification
- data analysis
- support vector machine
- data driven
- pattern classification
- support vector machine svm
- feature selection
- feature extraction
- real world
- data mining
- supervised learning
- supervised machine learning
- high level
- unsupervised learning
- classification systems
- classification scheme
- machine learning systems
- model selection
- data sets
- feature vectors
- knowledge acquisition
- classification method
- image classification
- learning algorithm
- computational intelligence
- feature space
- classification accuracy
- expert systems
- predictive modeling
- neural network
- classification models
- inductive learning
- classification algorithm
- training data