C4.5: programs for machine learning
C4.5: programs for machine learning
Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
Proposed NIST standard for role-based access control
ACM Transactions on Information and System Security (TISSEC)
A policy-based resource instantiation mechanism to automate software process management
SEKE '02 Proceedings of the 14th international conference on Software engineering and knowledge engineering
Distributed and Parallel Databases
Incremental Learning in SwiftFile
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Organizational modeling in UML and XML in the context of workflow systems
Proceedings of the 2003 ACM symposium on Applied computing
Organizational Management in Workflow Applications – Issues and Perspectives
Information Technology and Management
Discovering Social Networks from Event Logs
Computer Supported Cooperative Work
Proceedings of the 28th international conference on Software engineering
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Dynamic Work Distribution in Workflow Management Systems: How to Balance Quality and Performance
Journal of Management Information Systems
Estimating continuous distributions in Bayesian classifiers
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Workflow resource patterns: identification, representation and tool support
CAiSE'05 Proceedings of the 17th international conference on Advanced Information Systems Engineering
Mining staff assignment rules from event-based data
BPM'05 Proceedings of the Third international conference on Business Process Management
A semi-automatic approach for workflow staff assignment
Computers in Industry
An initial approach to mining multiple perspectives of a business process
The Fifth Richard Tapia Celebration of Diversity in Computing Conference: Intellect, Initiatives, Insight, and Innovations
Towards automation of iteration planning
Proceedings of the 24th ACM SIGPLAN conference companion on Object oriented programming systems languages and applications
Agent assignment for process management: agent performance evaluation
Proceedings of the 7th International Conference on Frontiers of Information Technology
Bug report assignee recommendation using activity profiles
Proceedings of the 10th Working Conference on Mining Software Repositories
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Staff assignment is an important aspect of workflow resource management. In many current workflow applications, staff assignment is still performed manually by resource assigners like process initiator or process monitor. In this paper, we present a semi-automated approach intended to ease the burden of staff assigner. Our approach applies a machine learning algorithm to workflow event log to learn various kinds of activities each actor undertakes. When a new process is initiated, the classifiers generated by the machine learning technique suggest a suitable actor to undertake the specified activities. With this approach, we have achieved an average prediction accuracy of 85.8% and 80.1% on two car manufacturing enterprises respectively. We report on the result of our experiment and discuss issues and improvement of our approach.