Case of Process Mining from Business Execution Log Data

被引：0

作者：

Bae, Joonsoo ^{[1
]}

Kang, Young Ki ^{[1
]}

机构：

[1] Chonbuk Natl Univ, BPM Lab, Chonju, South Korea

来源：

INTELLIGENT DECISION TECHNOLOGIES (IDT'2012), VOL 1 | 2012年 / 15卷

关键词：

Process mining; Log data;

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：

Process Mining is one research area to find useful information from various processes in business execution log data. As BPMS, ERP, SCM, etc so called process recognizing information system are widely spread, process mining research are getting emphasis recently. Also execution log data of one enterprise are frequently utilized for checking current status of management or analysis of resource efficiency. But since analysis result depends on measurement criteria and method, it is very important to select systematic process mining algorithm based on business model or enterprise strategy. In this paper many process mining techniques are introduced and compared using process mining tool, ProM.

引用

页码：419 / 425

页数：7