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Trace Clustering Based on Conserved Patterns: Towards Achieving Better Process Models

R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aalst

2010-01-01otherLecture notes in business information processing148 citationsclosed

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Business Process Modeling and Analysis Software Testing and Debugging Techniques Data Mining Algorithms and Applications

Abstract

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Citations in this library

Stored only when both papers are in the corpus — 148 citations exist upstream.

References

2004Workflow mining: discovering process models from event logs

2006Business process mining: An industrial application

2003Rediscovering workflow models from event-based data using little thumb

2009Trace Clustering in Process Mining

2006Discovering expressive process models by clustering log traces

2009Context Aware Trace Clustering: Towards Improving Process Mining Results

2007Understanding the Occurrence of Errors in Process Models Based on Metrics

Cited by

2011Process diagnostics using trace alignment: Opportunities, issues, and challenges

2021A Survey on Concept Drift in Process Mining

2015The Use of Process Mining in Business Process Simulation Model Construction

2015Supporting healthcare management decisions via robust clustering of event logs

2015A Co-Training Strategy for Multiple View Clustering in Process Mining

2018act2vec, trace2vec, log2vec, and model2vec: Representation Learning for Business Processes

2012Applying Clustering in Process Mining to Find Different Versions of a Business Process That Changes over Time

2015Conformance Checking Based on Partially Ordered Event Data

Details

Year2010

Typeother

VenueLecture notes in business information processing

Languageen

Files0 public / 0

Identifiers

doi10.1007/978-3-642-12186-9_16

openalex_workW1592254591

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