Samenvatting
Real-life event logs often contain many data quality issues, which obstruct existing discovery algorithms from discovering meaningful process models and process analysts from conducting further process analysis. In this paper, we present an integrated tool that provides support for dealing with three of these
data issues: logs comprising recordings of multiple heterogeneous variants of a process; traces containing multitude of deviating events in an infrequent context; event labels being imprecise. The tool is called Log to Model Explorer and helps
users in interactively and iteratively exploring and preprocessing a log by clustering, filtering and event relabeling, enabling them to discover more meaningful process models.
data issues: logs comprising recordings of multiple heterogeneous variants of a process; traces containing multitude of deviating events in an infrequent context; event labels being imprecise. The tool is called Log to Model Explorer and helps
users in interactively and iteratively exploring and preprocessing a log by clustering, filtering and event relabeling, enabling them to discover more meaningful process models.
Originele taal-2 | Engels |
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Mijlpalentype toekennen | Tool Demonstration |
Aantal pagina's | 5 |
Status | Gepubliceerd - 22 jul. 2016 |
Publicatie series
Naam | Proceedings of the BPM 2016 Tool Demonstration Track |
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