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dc.contributor.advisor Comuzzi, Marco -
dc.contributor.author Ko, Jonghyeon -
dc.date.accessioned 2024-01-29T14:47:42Z -
dc.date.available 2024-01-29T14:47:42Z -
dc.date.issued 2022-02 -
dc.description.degree Doctor -
dc.description Department of Industrial Engineering -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/73643 -
dc.identifier.uri http://unist.dcollection.net/common/orgView/200000603245 -
dc.language eng -
dc.publisher Ulsan National Institute of Science and Technology (UNIST) -
dc.rights.embargoReleaseTerms 9999-12-31 -
dc.subject Process Mining, Anomaly Detection, Event Log, 프로세스 마이닝 -
dc.title.alternative 비즈니스 프로세스 이벤트 로그 상 이상 행동 탐지를 위한 정보 기술 개발 -
dc.title Information-theoretic detection of control-flow anomalies in business process event logs -
dc.type Thesis -

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