Concept drift detection and localization in process mining: an integrated and efficient approach enabled by trace clustering.
Rafael Gaspar de SousaSarajane Marques PeresMarcelo FantinatoHajo Alexander ReijersPublished in: SAC (2021)
Keyphrases
- concept drift
- incremental clustering
- process mining
- data streams
- change detection
- clustering algorithm
- streaming data
- anomaly detection
- process model
- drift detection
- business processes
- k means
- drifting concepts
- business process
- neural network
- data clustering
- hierarchical clustering
- evolving data streams
- stream clustering
- remote sensing
- data distribution
- non stationary
- support vector machine
- feature vectors
- machine learning
- data mining