An entropy-based clustering ensemble method to support resource allocation in business process management.
Weidong ZhaoHaitao LiuWeihui DaiJian MaPublished in: Knowl. Inf. Syst. (2016)
Keyphrases
- resource allocation
- ensemble methods
- business process management
- resource allocation problems
- business process
- scarce resources
- business processes
- prediction accuracy
- optimal resource allocation
- ensemble learning
- resource allocation decisions
- clustering algorithm
- allocation problems
- machine learning methods
- random forest
- resource allocation and scheduling
- cluster ensemble
- k means
- base classifiers
- decision trees
- genetic algorithm
- benchmark datasets
- decision making
- learning algorithm