Samenvatting
Process discovery, i.e., learning process models from event logs, has attracted the attention of researchers and practitioners. Today, there exists a wide variety of process mining techniques that are able to discover the control-flow of a process based on event data. These techniques are able to identify decision points, but do not analyze data flow to find rules explaining why individual cases take a particular path. Fortunately, recent advances in conformance checking can be used to align an event log with data and a process model with decision points. These alignments can be used to generate a well-defined classification problem per decision point. This way data flow and guards can be discovered and added to the process model.
Originele taal-2 | Engels |
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Titel | 28th Annual ACM Symposium on Applied Computing (Coimbra, Portugal, March 18-22, 2013) |
Plaats van productie | New York NY |
Uitgeverij | Association for Computing Machinery, Inc |
Pagina's | 1454-1461 |
ISBN van geprinte versie | 978-1-4503-1656-9 |
DOI's | |
Status | Gepubliceerd - 2013 |
Evenement | 28th ACM Symposium on Applied Computing (SAC 2013) - Coimbra, Portugal Duur: 18 mrt 2013 → 22 mrt 2013 Congresnummer: 28 |
Congres
Congres | 28th ACM Symposium on Applied Computing (SAC 2013) |
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Verkorte titel | SAC 2013 |
Land | Portugal |
Stad | Coimbra |
Periode | 18/03/13 → 22/03/13 |
Ander | 28th Annual ACM Symposium on Applied Computing |