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Mining Workflow Outlier with a Frequency-Based Algorithm
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- 발행기관
- 보안공학연구지원센터(IJCA) 바로가기
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- 간행물
- International Journal of Control and Automation SCOPUS 바로가기
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- 통권
- vol.4 no.2 (2011.06)바로가기
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- 페이지
- pp.1-22
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A147524
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- Business Process includes workflows which integrated some critical activities among different departments. Workflow management is a quickly evolving technology that can assist business process reengineering and accomplish full or partial automatic processing of a business. Workflow plays a critical role in the ERP (Enterprise Resources Planning) system since it aims to achieve maximum satisfaction for both employee and customers. Any workflow that is irrationally and irregularly designed will not only lead to an ineffective operation of enterprise but also limit the implementation of an effective business strategy. The research proposes an algorithm which makes use of the workflow’s executed frequency, the concept of distance-based outlier detection, empirical rules and Method of Exhaustion to mine three types of workflow outliers, including less-occurring workflow outliers of each process (abnormal workflow of each process), less-occurring workflow outliers of all processes (abnormal workflow of all processes) and never-occurring workflow outliers (redundant workflow). In addition, this research adopts real data to evaluate workflow mining feasibility. In terms of the management, it will assist managers and consultants in (1) controlling exceptions in the process of enterprise auditing, (2) simplifying the business process management by the integration of relevant processes and (3)persisting to improve the quality of business process and enhance enterprise performance.
목차
Abstract
1. Introduction
2. Literature Review
2.1. Workflow Mining
2.2. Outlier Detection
3. Methodology
3.1. Related Workflow Definitions
3.2. The Algorithm for Workflow Outlier Mining
3.3. Redundant Workflow Mining
4. Experiments and the Evaluation
4.1 The Design of Experiments
4.2 The Result and Analysis of Experiments
5. Conclusions and Suggestions
References
키워드
ERP BPM Workflow mining Data mining Outlier detection 1.저자
간행물 정보
발행기관
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- 발행기관명
- 보안공학연구지원센터(IJCA) [Science & Engineering Research Support Center, Republic of Korea(IJCA)]
- 설립연도
- 2006
- 분야
- 공학>컴퓨터학
- 소개
- 1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업
간행물
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- 간행물명
- International Journal of Control and Automation
- 간기
- 월간
- pISSN
- 2005-4297
- 수록기간
- 2008~2016
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of Control and Automation vol.4 no.2
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