Process mining in flexible environments
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Summary
In conclusion, proton-proton collisions have been identified as the source of radioactivity in the Large Hadron Collider and their consequences have been described as “catastrophic” and “fundamental” in the design of the machine.
- Type
- article
- Published
- 2009-01-01
- Cited by
- 130
- References
- 168
- Access
- Open access
- OpenAlex
- https://openalex.org/W168056465
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:118830505
Keywords
Process (computing), Computer science, Business
References
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- Database System Concepts
- Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications
- Risk-based testing: : Risk analysis fundamentals and metrics for software testing including a financial application case study
- Free choice Petri nets
- The diagram, a method for comparing sequences. Its use with amino acid and nucleotide sequences.
- Adeptflex—Supporting Dynamic Changes of Workflows Without Losing Control
- Rediscovering workflow models from event-based data using little thumb
- Coloured Petri Nets
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- Workflow support for the healthcare domain
- Robust performance analysis on YAWL process models with advanced constructs
- Mining Process Model Variants: Challenges, Techniques, Examples
- Flexible Heuristics Miner (FHM)
- Discovery of patient pathways from a national hospital database using process mining and integer linear programming
- Abstraction, Visualization, and Evolution of Process Models
- Activity failure prediction based on process mining
- Toward an Anonymous Process Mining
- A Semantic Rule-Based Approach Towards Process Mining for Personalised Adaptive Learning
- Projection approaches to process mining using region-based techniques
- A Semantic Rule-based Approach Supported by Process Mining for Personalised Adaptive Learning
- A multi-dimensional quality assessment of state-of-the-art process discovery algorithms using real-life event logs
- Conformance checking for BPMN-based process models
- Declarative process discovery with evolutionary computing
- Supporting healthcare management decisions via robust clustering of event logs
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