Accelerated Real-Time Classification of Evolving Data Streams using Adaptive Random Forests.
Frank RidderKuan-Hsun ChenNikolaos AlachiotisPublished in: ICFPT (2023)
Keyphrases
- nearest neighbor
- random forests
- evolving data streams
- decision trees
- training set
- machine learning algorithms
- real time
- random forest
- tree ensembles
- knn
- regression forests
- logistic regression
- randomized trees
- data streams
- classification accuracy
- ensemble methods
- support vector machine
- machine learning
- support vector machine svm
- benchmark datasets
- feature set
- image classification
- support vector
- streaming data
- concept drift
- stream mining
- text classification
- feature space
- decision tree ensembles
- data sets
- svm classifier
- text categorization
- anomaly detection
- semi supervised learning
- unsupervised learning
- supervised learning
- feature extraction
- feature selection