Adapting to Concept Drift in Credit Card Transaction Data Streams Using Contextual Bandits and Decision Trees.
Dennis J. N. J. SoemersTim BrysKurt DriessensMark H. M. WinandsAnn NowéPublished in: AAAI (2018)
Keyphrases
- concept drift
- credit card
- data streams
- payment scheme
- decision trees
- concept drifting data streams
- drift detection
- streaming data
- trusted third party
- fraud detection
- data stream classification
- drifting concepts
- stream data
- outlier detection
- evolving data streams
- sliding window
- data distribution
- change detection
- naive bayes
- classification algorithm
- machine learning
- non stationary
- sensitive information
- data stream mining
- stream mining
- training set
- database
- databases
- concept drifting
- payment systems
- detection algorithm
- incoming data
- ensemble methods
- itemsets
- classification accuracy
- stream clustering