Effa: A proM Plugin for Recovering Event Logs
Title | Effa: A proM Plugin for Recovering Event Logs |
Publication Type | Conference Paper |
Year of Publication | 2016 |
Authors | Xia, Xiaoxu, Song, Wei, Chen, Fangfei, Li, Xuansong, Zhang, Pengcheng |
Conference Name | Proceedings of the 8th Asia-Pacific Symposium on Internetware |
Publisher | ACM |
Conference Location | New York, NY, USA |
ISBN Number | 978-1-4503-4829-4 |
Keywords | event logs, minimum recovery, process decomposition, proM, pubcrawl170201, trace replaying |
Abstract | 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 Effa, 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, Effa achieves a balance between repairing accuracy and efficiency. |
URL | http://doi.acm.org/10.1145/2993717.2993732 |
DOI | 10.1145/2993717.2993732 |
Citation Key | xia_effa:_2016 |