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Prediction of Rolling Force Based on a Fusion of Extreme Learning Machine and Self Learning Model of Rolling Force Read chapter Read first chapter

2018 | OriginalPaper | Chapter

The Application of Decision Tree in Workflow

Authors : Lisong Wang, Yifan Chu, Min Xu

Published in: Advances in Intelligent Systems and Interactive Applications

Publisher: Springer International Publishing

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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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previous chapter The Research on the Thinking of Large Data for Agricultural Products Market Consumption in Beijing
next chapter Constructing and Analysis of the State Spaces of Workflow Process Models
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Metadata
Title
The Application of Decision Tree in Workflow
Authors
Lisong Wang
Yifan Chu
Min Xu
Copyright Year
2018
Book
Advances in Intelligent Systems and Interactive Applications

Print ISBN: 978-3-319-69095-7

Electronic ISBN: 978-3-319-69096-4

Copyright Year: 2018

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

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