A Practical Approach to Classify Evolving Data Streams: Training with Limited Amount of Labeled Data.
Mohammad M. MasudJing GaoLatifur KhanJiawei HanBhavani M. ThuraisinghamPublished in: ICDM (2008)
Keyphrases
- labeled data
- evolving data streams
- labeled training data
- unlabeled data
- supervised learning
- labeled data for training
- semi supervised learning
- semi supervised
- training examples
- text classification
- training data
- training and test data
- supervised methods
- active learning
- labeling effort
- labeled instances
- training set
- data streams
- transfer learning
- domain adaptation
- data points
- labeled examples
- learning algorithm
- class labels
- stream mining
- co training
- labeled and unlabeled data
- concept drift
- prior knowledge
- streaming data
- random forests
- test data
- training samples
- target domain
- cross domain
- unsupervised learning