한국인터넷정보학회 논문지
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| 한글제목(Korean Title) |
Discovering Temporal Work Transference Networks from Workflow Execution Logs |
| 영문제목(English Title) |
Discovering Temporal Work Transference Networks from Workflow Execution Logs |
| 저자(Author) |
Dinh-Lam Pham
Hyun Ahn
Kwanghoon Pio Kim
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| 원문수록처(Citation) |
VOL 20 NO. 02 PP. 0101 ~ 0108 (2019. 04) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Workflow management systems (WfMSs) automate and manage workflows, which are implementations of organizational processes operated in process-centric organizations. In this paper, wepropose an algorithm to discover temporal work transference networks from workflow execution logs. The temporal work transference network is a special type of enterprise social networks that consists of workflow performers, and relationships among them that are formed by work transferences between performers who are responsible in performing precedent and succeeding activities in a workflow process. In terms of analysis, the temporal work transference network is an analytical property that has significant value to be analyzed to discover organizational knowledge for human resource management and related decision-making steps for process-centric organizations. Also, the beginning point of implementinga human-centered workflow intelligence framework dealing with work transference networks is to develop an algorithm for discovering temporal work transference cases on workflow execution logs. To this end, we first formalize a concept of temporal work transference network, and next, we present a discovery algorithm which is for the construction of temporal work transference network from workflow execution logs. Then, as a verification of the proposed algorithm, we apply the algorithm to an XES-formatted log dataset that was released by the process mining research group and finally summarize the discovery result.
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| 키워드(Keyword) |
Workflow management system
work transference network
execution logs
temporal workcases
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| 파일첨부 |
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