Regularized and incremental decision trees for data streams.
Jean Paul BarddalFabrício EnembreckPublished in: Ann. des Télécommunications (2020)
Keyphrases
- data structure
- data streams
- decision trees
- itemsets
- sliding window
- incremental learning
- streaming data
- concept drift
- naive bayes
- decision tree induction
- concept drifting data streams
- least squares
- sensor data
- data mining methods
- machine learning
- random forest
- frequent itemsets
- continuous queries
- data sets
- stream data
- incremental version
- risk minimization
- decision tree learning
- change detection
- data stream mining
- data streaming
- limited memory
- continuous data streams
- data mining
- predictive accuracy
- data distribution
- sensor networks
- objective function
- classification trees
- rule induction
- constructive induction
- regularized least squares
- base classifiers
- classification rules
- stream mining
- outlier detection
- mining data streams