Feature expansion of single dimensional time series data for machine learning classification.
Daeun JungJungjin LeeHyunggon ParkPublished in: ICUFN (2021)
Keyphrases
- machine learning
- pattern recognition
- machine learning methods
- feature vectors
- supervised machine learning
- text classification
- supervised learning
- support vector machine
- feature selection
- machine learning algorithms
- decision trees
- machine learning approaches
- classification method
- feature space
- classification accuracy
- unsupervised learning
- model selection
- data analysis
- feature extraction
- pattern classification
- multi dimensional
- image classification
- classification models
- knowledge acquisition
- single feature
- classification scheme
- feature representation
- supervised classification
- data mining
- natural language processing
- support vector
- automatic classification
- learning algorithm
- irrelevant features
- feature analysis
- classification systems
- artificial intelligence
- similarity measure
- reinforcement learning
- benchmark datasets
- image features
- inductive learning
- feature subset
- kernel methods
- classification rules
- feature set
- data sets
- svm classifier