Abstract
Bisociation Network (BisoNet) is a novel approach for creative information discovery, and it can be projected to many real application domains. Bisociation of business processes onto a network is one of such applications. In this paper, we investigate business processes on the BisoNet, and develop a directed graph model to map the relations between business process flows. Based on the BisoNet model, we analyze the real-world data provided by a call service centre. The network-based statistics show that some special process steps could be key steps that greatly affect the performance of the service, and could result in a case unsolved. The network is simplified through constructing the network with shortest path of each process flow, and the simplified network may represent an optimal process pattern. This may provide a reference to the business organization for improving the quality of their service.
| Original language | English |
|---|---|
| Pages (from-to) | 419-426 |
| Number of pages | 8 |
| Journal | International Journal of Machine Learning and Cybernetics |
| Volume | 4 |
| Issue number | 5 |
| DOIs | |
| State | Published - Oct 2013 |
Keywords
- Bisociation networks
- Business process
- Directed graph model
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