Effa: A ProM Plugin for Recovering Event Logs

被引：3

作者：

Xia, Xiaoxu ^{[1
]}

Song, Wei ^{[1
]}

Chen, Fangfei ^{[1
]}

Li, Xuansong ^{[1
]}

Zhang, Pengcheng ^{[2
]}

机构：

[1] Nanjing Univ Sci & Technol, Sch Comp Sci & Engn, Nanjing, Jiangsu, Peoples R China

[2] Hohai Univ, Coll Comp & Informat, Nanjing, Jiangsu, Peoples R China

来源：

8TH ASIA-PACIFIC SYMPOSIUM ON INTERNETWARE (INTERNETWARE 2016) | 2016年

关键词：

event logs; minimum recovery; process decomposition; trace replaying; ProM;

D O I：

10.1145/2993717.2993732

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

While event logs generated by business processes play an increasingly significant role in business analysis, the quality of data remains a serious problem. Automatic recovery of dirty event logs is desirable and thus receives more attention. However, existing methods only focus on missing event recovery, or fall short of efficiency. To this end, we present Eff a, a ProM plugin, to automatically recover event logs in the light of process specifications. Based on advanced heuristics including process decomposition and trace replaying to search the minimum recovery, Eff a achieves a balance between repairing accuracy and efficiency.

引用

页码：108 / 111

页数：4

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