An Artificial Immune System Approach to Business Process Mining

被引：3

作者：

Wei, Yonghe ^{[1
]}

Wang, JunZhong ^{[1
]}

机构：

[1] Shenyang Ligong Univ, Sch Mech Engn, Shenyang, Peoples R China

来源：

ADVANCED MANUFACTURING TECHNOLOGY, PTS 1-4 | 2012年 / 472-475卷

关键词：

artificial immune system; business process; process mining;

D O I：

10.4028/www.scientific.net/AMR.472-475.35

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The aim of process mining is to identify and extract process patterns from data logs to reconstruct an overall process model. And the model's structural complexity directly impacts readability and quality of the model. Immune systems have many characteristics such as uniqueness, autonomous, recognition of foreigners, distributed detection, and noise tolerance. This paper outlines an alternative approach to business process mining utilizing an artificial immune systems (AIS) technique, and some main steps and operators were depicted.

引用

页码：35 / 38

页数：4

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