한국경영과학회:학술대회논문집 (Proceedings of the Korean Operations and Management Science Society Conference)
- 대한산업공학회/한국경영과학회 2004년도 춘계공동학술대회 논문집
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- Pages.544-547
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- 2004
비즈니스 프로세스 수행자들의 Social Network Mining에 대한 연구
Mining Social Networks from business process log
- Song, Min-Seok ;
- Aalst, W.M.P Van Der ;
- Choe, In-Jun
- 발행 : 2004.05.21
초록
Current increasingly information systems log historic information in a systematic way. Not only workflow management systems, but also ERP, CRM, SCM, and B2B systems often provide a so-called 'event log'. Unfortunately, the information in these event logs is rarely used to analyze the underlying processes. Process mining aims at improving this problem by providing techniques and tools for discovering process, control, data, organizational, and social structures from event logs. This paper focuses on the mining social networks. This is possible because event logs typically record information about the users executing the activities recorded in the log. To do this we combine concepts from workflow management and social network analysis. This paper introduces the approach and presents a tool to mine social networks from event logs.
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