OcVFDT: one-class very fast decision tree for one-class classification of data streams.
Chen LiYang ZhangXue LiPublished in: KDD Workshop on Knowledge Discovery from Sensor Data (2009)
Keyphrases
- data streams
- decision trees
- single class
- streaming data
- decision tree construction
- sliding window
- decision tree induction
- predictive accuracy
- concept drift
- sensor networks
- logistic regression
- decision tree algorithm
- novelty detection
- change detection
- attribute selection
- machine learning algorithms
- sensor data
- stream data
- binary classification
- machine learning
- data stream mining
- distributed data streams
- naive bayes
- training data
- decision tree classifiers
- data streaming
- mining data streams
- information gain
- classification error
- data distribution
- stream processing
- itemsets
- continuous data streams
- stream mining
- data sets
- decision tree learning
- target class
- data mining methods
- training set
- multi class
- continuous queries
- classification rules
- random forest
- ensemble methods
- data stream classification
- heavy hitters
- multivariate decision trees
- feature construction
- data structure
- speaker verification
- active learning
- wireless sensor networks
- multiple classes
- queueing networks
- frequent itemsets
- decision table
- classification models
- density estimation
- learning problems