Ensemble-Based Prediction of Business Processes Bottlenecks With Recurrent Concept Drifts.
Yorick SpenrathMarwan HassaniPublished in: EDBT/ICDT Workshops (2019)
Keyphrases
- business processes
- concept drift
- ensemble classifier
- ensemble classification
- concept drifting
- concept drifting data streams
- business process
- ensemble learning
- streaming data
- predictive coding
- data streams
- ensemble methods
- stream data
- prediction accuracy
- web services
- process model
- classifier ensemble
- non stationary
- drift detection
- business process management
- neural network
- classification algorithm
- business process models
- data distribution
- change detection
- business environment
- noisy data streams
- data sets
- business partners
- workflow systems
- workflow management
- majority voting
- support vector machine
- workflow management systems
- inter organizational
- training data
- sliding window
- learning algorithm
- machine learning
- workflow processes
- competitive advantage
- random forests
- business intelligence
- training set
- feature selection