The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
비즈니스 프로세스 유사성 측정은 비즈니스 프로세스 쿼리, 개선, 재설계 등과 같은 많은 응용 프로그램에서 필요합니다. 지난 20년 동안 많은 프로세스 동작 유사성 측정이 제안되었습니다. 그러나 우리가 아는 한 대부분의 기존 연구는 직접적인 인과 관계 전이 관계에만 초점을 맞추고 프로세스 동작 유사성을 측정할 때 똑같이 중요한 것으로 입증된 동시 및 전이 관계를 완전히 무시합니다. 본 논문에서는 기존 프로세스 동작 유사성 측정의 약점을 출발점으로 삼아 소위 확장 전환 관계 집합, 줄여서 ETR-set을 기반으로 비즈니스 프로세스 동작 유사성을 측정하는 포괄적인 접근 방식을 제안합니다. 본질적으로, ETR-집합은 직접적인 인과관계 전이관계, 최소 동시 전이관계, 추이적 인과전이 관계를 포함하는 확장된 전이관계 집합이다. ETR 세트를 기반으로 새로운 프로세스 동작 유사성 측정이 정의됩니다. 동시 도달 가능성 그래프를 구성함으로써 우리의 접근 방식은 ETR 세트를 얻는 효과적인 기술을 찾습니다. 마지막으로, 우리는 속성 분석과 일련의 제어 실험 수행 측면에서 제안된 접근 방식을 평가합니다.
Cong LIU
Shandong University of Science and Technology
Qingtian ZENG
Shandong University of Science and Technology
Hua DUAN
Shandong University of Science and Technology
Shangce GAO
University of Toyama
Chanhong ZHOU
Shandong University of Science and Technology
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부
Cong LIU, Qingtian ZENG, Hua DUAN, Shangce GAO, Chanhong ZHOU, "Towards Comprehensive Support for Business Process Behavior Similarity Measure" in IEICE TRANSACTIONS on Information,
vol. E102-D, no. 3, pp. 588-597, March 2019, doi: 10.1587/transinf.2018EDP7127.
Abstract: Business process similarity measure is required by many applications, such as business process query, improvement, redesign, and etc. Many process behavior similarity measures have been proposed in the past two decades. However, to the best of our knowledge, most existing work only focuses on the direct causality transition relations and totally neglect the concurrent and transitive transition relations that are proved to be equally important when measuring process behavior similarity. In this paper, we take the weakness of existing process behavior similarity measures as a starting point, and propose a comprehensive approach to measure the business process behavior similarity based on the so-called Extended Transition Relation set, ETR-set for short. Essentially, the ETR-set is an ex-tended transition relation set containing direct causal transition relations, minimum concurrent transition relations and transitive causal transition relations. Based on the ETR-set, a novel process behavior similarity measure is defined. By constructing a concurrent reachability graph, our approach finds an effective technique to obtain the ETR-set. Finally, we evaluate our proposed approach in terms of its property analysis as well as conducting a group of control experiments.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2018EDP7127/_p
부
@ARTICLE{e102-d_3_588,
author={Cong LIU, Qingtian ZENG, Hua DUAN, Shangce GAO, Chanhong ZHOU, },
journal={IEICE TRANSACTIONS on Information},
title={Towards Comprehensive Support for Business Process Behavior Similarity Measure},
year={2019},
volume={E102-D},
number={3},
pages={588-597},
abstract={Business process similarity measure is required by many applications, such as business process query, improvement, redesign, and etc. Many process behavior similarity measures have been proposed in the past two decades. However, to the best of our knowledge, most existing work only focuses on the direct causality transition relations and totally neglect the concurrent and transitive transition relations that are proved to be equally important when measuring process behavior similarity. In this paper, we take the weakness of existing process behavior similarity measures as a starting point, and propose a comprehensive approach to measure the business process behavior similarity based on the so-called Extended Transition Relation set, ETR-set for short. Essentially, the ETR-set is an ex-tended transition relation set containing direct causal transition relations, minimum concurrent transition relations and transitive causal transition relations. Based on the ETR-set, a novel process behavior similarity measure is defined. By constructing a concurrent reachability graph, our approach finds an effective technique to obtain the ETR-set. Finally, we evaluate our proposed approach in terms of its property analysis as well as conducting a group of control experiments.},
keywords={},
doi={10.1587/transinf.2018EDP7127},
ISSN={1745-1361},
month={March},}
부
TY - JOUR
TI - Towards Comprehensive Support for Business Process Behavior Similarity Measure
T2 - IEICE TRANSACTIONS on Information
SP - 588
EP - 597
AU - Cong LIU
AU - Qingtian ZENG
AU - Hua DUAN
AU - Shangce GAO
AU - Chanhong ZHOU
PY - 2019
DO - 10.1587/transinf.2018EDP7127
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E102-D
IS - 3
JA - IEICE TRANSACTIONS on Information
Y1 - March 2019
AB - Business process similarity measure is required by many applications, such as business process query, improvement, redesign, and etc. Many process behavior similarity measures have been proposed in the past two decades. However, to the best of our knowledge, most existing work only focuses on the direct causality transition relations and totally neglect the concurrent and transitive transition relations that are proved to be equally important when measuring process behavior similarity. In this paper, we take the weakness of existing process behavior similarity measures as a starting point, and propose a comprehensive approach to measure the business process behavior similarity based on the so-called Extended Transition Relation set, ETR-set for short. Essentially, the ETR-set is an ex-tended transition relation set containing direct causal transition relations, minimum concurrent transition relations and transitive causal transition relations. Based on the ETR-set, a novel process behavior similarity measure is defined. By constructing a concurrent reachability graph, our approach finds an effective technique to obtain the ETR-set. Finally, we evaluate our proposed approach in terms of its property analysis as well as conducting a group of control experiments.
ER -