Detecting Concept Drift in Resource-Service Sequence for Collaborative Task
Tangquan Lin, Haibo Li, Yingchuan Sun · MATEC Web of Conferences · 2018
To discover the bottleneck of business caused by the changing of market, especially in collaborative tasks, an approach is proposed to detect concept drift in the usage of resource services in business processes. Firstly, influence degree, described as features, is measured in a Resource-Service Sequence (RSS). Secondly, by mining business dataset, the influence relationship between resource services is resolved according to different time window. Then, the influence degrees are clustered as different clusters, called concept drift. Finally, RSSs with concept drift are derived from the feature sequence. The simulation results show the validity of the proposed approach.