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- W172371876 abstract "Traditional role-oriented process modeling seems to be subjective in identifying roles. To solve the problem, the similarity of activities is used in this paper. Sub-processes with high similarity are recognized as the process undertaken by a certain role. In this way, a relatively objective role identification approach is proposed, which determines the interaction between roles and establishes the role-activity diagram. Furthermore, by analyzing the interaction between roles, genetic algorithm is used to introduce multiple factors to optimize the identification. Therefore, an optimized role-oriented process modeling approach is established and an example is presented to show the feasibility of this approach." @default.
- W172371876 created "2016-06-24" @default.
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- W172371876 date "2012-01-01" @default.
- W172371876 modified "2023-09-26" @default.
- W172371876 title "Mining the Role-Oriented Process Models Based on Genetic Algorithm" @default.
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- W172371876 doi "https://doi.org/10.1007/978-3-642-30976-2_48" @default.
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