Network flows: theory, algorithms, and applications
Network flows: theory, algorithms, and applications
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
Production workflow: concepts and techniques
Production workflow: concepts and techniques
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
Improving Business Process Quality through Exception Understanding, Prediction, and Prevention
Proceedings of the 27th International Conference on Very Large Data Bases
Organizational modeling in UML and XML in the context of workflow systems
Proceedings of the 2003 ACM symposium on Applied computing
Computers in Industry - Special issue: Process/workflow mining
Organizational Management in Workflow Applications – Issues and Perspectives
Information Technology and Management
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Discovering Social Networks from Event Logs
Computer Supported Cooperative Work
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
A machine learning approach to semi-automating workflow staff assignment
Proceedings of the 2007 ACM symposium on Applied computing
Dynamic Work Distribution in Workflow Management Systems: How to Balance Quality and Performance
Journal of Management Information Systems
A generic solution for warehousing business process data
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
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
An adaptive work distribution mechanism based on reinforcement learning
Expert Systems with Applications: An International Journal
Reinforcement learning based resource allocation in business process management
Data & Knowledge Engineering
Mining association rules to support resource allocation in business process management
Expert Systems with Applications: An International Journal
Resource behavior measure and application in business process management
Expert Systems with Applications: An International Journal
Mining event logs to support workflow resource allocation
Knowledge-Based Systems
ICSOC'12 Proceedings of the 10th international conference on Service-Oriented Computing
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Staff assignment is of great importance for workflow management systems. In many workflow applications, staff assignment is still performed manually. In this paper, we present a semi-automatic approach intended to reduce the number of manual staff assignment. Our approach applies a machine learning algorithm to the workflow event log to learn various kinds of activities that each actor undertakes. When staff assignment is needed, the classifiers generated by the machine learning technique suggest a suitable actor to undertake the specified activities. With experiments on three enterprises, our approach achieved a fairly accurate recommendation.