Detecting changes in streaming data with information-theoretic windowing.
Ryoya KanekoKohei MiyaguchiKenji YamanishiPublished in: IEEE BigData (2017)
Keyphrases
- information theoretic
- streaming data
- data streams
- mutual information
- information theory
- concept drift
- theoretic framework
- sliding window
- evolving data streams
- data distribution
- data stream mining
- information bottleneck
- massive data streams
- entropy measure
- anomaly detection
- jensen shannon divergence
- information theoretic measures
- kullback leibler divergence
- stream data
- relative entropy
- image registration
- classification algorithm
- incoming data
- bayesian networks