Concept drift detection with False Positive rate for multi-label classification in IoT data stream.
Pingfan WangNanlin JinGerhard FehringerPublished in: UCET (2020)
Keyphrases
- concept drift
- false positive rate
- multi label classification
- data streams
- detection rate
- classification algorithm
- false positives
- multi label
- streaming data
- detection algorithm
- change detection
- non stationary
- data stream classification
- data stream mining
- data distribution
- text categorization
- face detection
- class imbalance
- binary classification
- multi class
- semi supervised learning
- binary classifiers
- naive bayes
- unsupervised learning
- text classification
- image annotation
- class labels
- computer vision
- graph cuts
- support vector machine
- knn
- support vector
- training data
- feature selection