On the Reliable Detection of Concept Drift from Streaming Unlabeled Data.
Tegjyot Singh SethiMehmed M. KantardzicPublished in: CoRR (2017)
Keyphrases
- concept drift
- reliable detection
- unlabeled data
- streaming data
- data streams
- semi supervised learning
- labeled data
- semi supervised
- active learning
- co training
- training data
- data distribution
- data points
- training set
- supervised learning
- text classification
- sliding window
- classification algorithm
- text categorization
- non stationary
- class distribution
- change detection
- labeled examples
- learning algorithm
- training examples
- class labels
- data sets
- prior knowledge
- positive examples
- labeled and unlabeled data
- machine learning
- graph classification
- decision trees
- unsupervised learning
- dimensionality reduction
- knowledge discovery
- pairwise