HIERARCHICAL CLUSTERING OF BUSINESS PROCESS MODELS

被引:0
作者
Jung, Jae-Yoon [2 ]
Bae, Joonsoo [1 ]
Liu, Ling [3 ]
机构
[1] Chonbuk Natl Univ, Dept Ind & Informat Syst Engn, Jeonju Si 561756, Jeonbuk, South Korea
[2] Kyung Hee Univ, Dept Ind Engn, Yongin 446701, Gyeonggi Do, South Korea
[3] Georgia Inst Technol, Coll Comp, Atlanta, GA 30332 USA
来源
INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL | 2009年 / 5卷 / 12A期
关键词
Hierarchical clustering; Business process management (BPM); Workflow;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Business process is collection of standardized and structured tasks inducing value creation of a company. Nowadays, it is recognized as one of significant intangible business assets to achieve competitive advantages. We introduce a novel approach to business process analysis, which has more and more significance as process-aware information systems that are spreading widely over a lot of companies. In this paper, a methodology of business process clustering based on process similarity is proposed. The propose of business process clustering is to analyze accumulated process models in order to assist new process design or process reengineering. The proposed methodology exploits structural similarity metrics of business processes. We illustrated the methodology with example processes inducing the hierarchical merged models from the process clusters.
引用
收藏
页码:4501 / 4511
页数:11
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