FLIP: Active Learning for Relational Network Classification.
Tanwistha SahaHuzefa RangwalaCarlotta DomeniconiPublished in: ECML/PKDD (3) (2014)
Keyphrases
- active learning
- pattern recognition
- selective sampling
- supervised learning
- machine learning
- decision trees
- support vector
- classification accuracy
- batch mode active learning
- networked data
- collective classification
- network model
- relational data
- classification method
- training set
- wireless sensor networks
- pattern classification
- feature vectors
- data sets
- feature selection
- random sampling
- complex networks
- decision rules
- text classification
- image classification
- support vector machine
- classification algorithm
- machine learning algorithms
- relevance feedback
- support vector machine svm
- class imbalance
- classification scheme
- feature extraction
- peer to peer
- learning algorithm
- annotation effort