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The Application of Decision Tree in Workflow

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Advances in Intelligent Systems and Interactive Applications (IISA 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 686))

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Abstract

The issue of path selection in workflow can be resolved by establishing a model of decision tree. The solution presented in this paper is based on analysis of workflow application in real world and probability theory. The solution can provide accurate and reliable runtime data for workflow engine to determine the future execution paths. The data provided by our solution has significant impact on the decision making of workflow, which contributes to optimization of workflow in many aspects. Finally, the efficiency of business process in real world can be greatly improved.

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Acknowledgements

The work of this paper was supported by the National Key Basic Research Program of China (Grant No.2014CB744903, 2014CB744904).

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Authors and Affiliations

  1. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, 210000, China

    Lisong Wang, Yifan Chu & Min Xu

Authors
  1. Lisong Wang
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  2. Yifan Chu
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  3. Min Xu
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Corresponding author

Correspondence to Lisong Wang .

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Editors and Affiliations

  1. Technical University of Catalonia, Barcelona, Spain

    Fatos Xhafa

  2. Department of Computer Science and Engineering, Faculty of Engineering and Technology, SOA University, Bhubaneswar, Odisha, India

    Srikanta Patnaik

  3. School of Information Technologies, University of Sydney, Sydney, New South Wales, Australia

    Albert Y. Zomaya

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Wang, L., Chu, Y., Xu, M. (2018). The Application of Decision Tree in Workflow. In: Xhafa, F., Patnaik, S., Zomaya, A. (eds) Advances in Intelligent Systems and Interactive Applications. IISA 2017. Advances in Intelligent Systems and Computing, vol 686. Springer, Cham. https://doi.org/10.1007/978-3-319-69096-4_116

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  • DOI: https://doi.org/10.1007/978-3-319-69096-4_116

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69095-7

  • Online ISBN: 978-3-319-69096-4

  • eBook Packages: EngineeringEngineering (R0)

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