Event log imperfection patterns for process mining: Towards a systematic approach to cleaning event logs

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• 作者：S. Suriadi^a ; ¹ ; ^{s.suriadi@qut.edu.au} ; R. Andrews^a ; ^{r.andrews@qut.edu.au} ; A.H.M. ter Hofstede^a ; ^b ; ^{a.terhofstede@qut.edu.au} ; M.T. Wynn^a ; ^{m.wynn@qut.edu.au}
• 关键词：Process mining ; Data mining ; Data quality ; Event log quality ; Patterns ; Systematic data pre-processing ; Event log preparation
• 刊名：Information Systems
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：64
• 期：Complete
• 页码：132-150
• 全文大小：1286 K
• 卷排序：64

文摘

A set of data imperfection patterns for event logs is introduced. The data imperfection patterns enable systematic approach to data cleaning. The usefulness of the patterns is demonstrated in a process mining case study. The patterns have been evaluated with process mining experts and practitioners.