Supporting Flexible Processes through Recommendations Based on History
BPM '08 Proceedings of the 6th International Conference on Business Process Management
Product-based workflow support
Information Systems
Next best step and expert recommendation for collaborative processes in it service management
BPM'11 Proceedings of the 9th international conference on Business process management
Self-learning predictor aggregation for the evolution of people-driven ad-hoc processes
BPM'11 Proceedings of the 9th international conference on Business process management
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To capture knowledge workers' tacit knowledge, while they are performing their work, we consider the use of an ad-hoc workflow system that does not leverage on any predefined model. To avoid the noisy divergence of ad-hoc executions of business processes, we propose a recommendation algorithm that promotes convergent behavior through a goal-driven strategy based on data instead of activity control flow.