Business Process Event Log use for Activity Sequence Analysis

被引：0

作者：

Savickas, Titas ^{[1
]}

Vasilecas, Olegas ^{[1
]}

机构：

[1] Vilnius Gediminas Tech Univ, Informat Syst Lab, Vilnius, Lithuania

来源：

2015 OPEN CONFERENCE OF ELECTRICAL, ELECTRONIC AND INFORMATION SCIENCES (ESTREAM) | 2015年

关键词：

process mining; event log; activity sequence; business process analysis; frequency matrix;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

It is mandatory for nowadays businesses to improve their processes to survive. The basis of this improvement is business process analysis. The analysis can be done in multiple ways but one of the state of the art solutions is Process Mining which uses historical business process execution data in information systems to improve the process analysis. The historical data for analysis comes in a form of event logs. In this paper an approach is presented which processes an event log into frequency matrixes to allow efficient activity sequence analysis. Additionally, some heuristic rules are presented that allow to make inference on causality between activities in a business process.

引用

页数：4

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