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Bisociation networks analysis for business process

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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.

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Acknowledgments

This work is based on the research supported by the EU PF7 BISON project, when the first author worked on the project in the University of Bristol. ZQ also thanks the NECT Program of MOE, China and the SRF for ROCS.

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Authors and Affiliations

  1. Intelligent System Lab, University of Bristol, Bristol, BS8 1UB, UK

    Hongmei He

  2. Intelligent Computing and Machine Learning Lab, School of Automation Science and Electrical Engineering, Beihang University, Beijing, China

    Zengchang Qin

Authors
  1. Hongmei He
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  2. Zengchang Qin
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Correspondence to Zengchang Qin.

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He, H., Qin, Z. Bisociation networks analysis for business process. Int. J. Mach. Learn. & Cyber. 4, 419–426 (2013). https://doi.org/10.1007/s13042-012-0113-9

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  • DOI: https://doi.org/10.1007/s13042-012-0113-9

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