A calculus of mobile processes, II
Information and Computation
Free choice Petri nets
Branching time and abstraction in bisimulation semantics
Journal of the ACM (JACM)
Discovering models of software processes from event-based data
ACM Transactions on Software Engineering and Methodology (TOSEM)
Event-based detection of concurrency
SIGSOFT '98/FSE-6 Proceedings of the 6th ACM SIGSOFT international symposium on Foundations of software engineering
Software process validation: quantitatively measuring the correspondence of a process to a model
ACM Transactions on Software Engineering and Methodology (TOSEM)
Inductive Inference: Theory and Methods
ACM Computing Surveys (CSUR)
Mining Process Models from Workflow Logs
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Improving Business Process Quality through Exception Understanding, Prediction, and Prevention
Proceedings of the 27th International Conference on Very Large Data Bases
A Data Warehouse for Workflow Logs
EDCIS '02 Proceedings of the First International Conference on Engineering and Deployment of Cooperative Information Systems
Discovering Workflow Performance Models from Timed Logs
EDCIS '02 Proceedings of the First International Conference on Engineering and Deployment of Cooperative Information Systems
Process Miner - A Tool for Mining Process Schemes from Event-Based Data
JELIA '02 Proceedings of the European Conference on Logics in Artificial Intelligence
Inductive Inference, DFAs, and Computational Complexity
AII '89 Proceedings of the International Workshop on Analogical and Inductive Inference
Data Mining von Workflow-Protokollen zur teilautomatisierten Konstruktion von Prozeßmodellen
Datenbanksysteme in Büro, Technik und Wissenschaft (BTW), 9. GI-Fachtagung,
Process Mining: Discovering Direct Successors in Process Logs
DS '02 Proceedings of the 5th International Conference on Discovery Science
Workflow-Based Process Monitoring and Controlling ¾ Technical and Organizational Issues
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 6 - Volume 6
Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
Workflow mining: a survey of issues and approaches
Data & Knowledge Engineering
Process mining: a research agenda
Computers in Industry - Special issue: Process/workflow mining
Computers in Industry - Special issue: Process/workflow mining
Mining exact models of concurrent workflows
Computers in Industry - Special issue: Process/workflow mining
Discovering workflow models from activities' lifespans
Computers in Industry - Special issue: Process/workflow mining
Discovering models of behavior for concurrent workflows
Computers in Industry - Special issue: Process/workflow mining
Workflow Mining: Discovering Process Models from Event Logs
IEEE Transactions on Knowledge and Data Engineering
Process Aware Information Systems: Bridging People and Software Through Process Technology
Process Aware Information Systems: Bridging People and Software Through Process Technology
Advances in Minimum Description Length: Theory and Applications (Neural Information Processing)
Advances in Minimum Description Length: Theory and Applications (Neural Information Processing)
Evolving petri nets to represent metabolic pathways
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Discovering Expressive Process Models by Clustering Log Traces
IEEE Transactions on Knowledge and Data Engineering
Rediscovering workflow models from event-based data using little thumb
Integrated Computer-Aided Engineering
Evolving Petri nets with a genetic algorithm
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Grammatical evolution for the discovery of Petri net models of complex genetic systems
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Detecting implicit dependencies between tasks from event logs
APWeb'06 Proceedings of the 8th Asia-Pacific Web conference on Frontiers of WWW Research and Development
Mining hierarchies of models: from abstract views to concrete specifications
BPM'05 Proceedings of the 3rd international conference on Business Process Management
ICATPN'05 Proceedings of the 26th international conference on Applications and Theory of Petri Nets
Conformance testing: measuring the fit and appropriateness of event logs and process models
BPM'05 Proceedings of the Third international conference on Business Process Management
Genetic process mining: a basic approach and its challenges
BPM'05 Proceedings of the Third international conference on Business Process Management
A genetic programming approach to business process mining
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Mining taxonomies of process models
Data & Knowledge Engineering
Log-based transactional workflow mining
Distributed and Parallel Databases
Using minimum description length for process mining
Proceedings of the 2009 ACM symposium on Applied Computing
Process-Aware Information Systems: Lessons to Be Learned from Process Mining
Transactions on Petri Nets and Other Models of Concurrency II
Process Mining: Overview and Outlook of Petri Net Discovery Algorithms
Transactions on Petri Nets and Other Models of Concurrency II
Using Genetic Process Mining Technology to Construct a Time-Interval Process Model
IEA/AIE '09 Proceedings of the 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: Next-Generation Applied Intelligence
Interactive Granular Computing in Rightly Judging Systems
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
Crawling and Extracting Process Data from the Web
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
Discovering Process Models from Unlabelled Event Logs
BPM '09 Proceedings of the 7th International Conference on Business Process Management
Discovering Process Models from Unlabelled Event Logs
BPM '09 Proceedings of the 7th International Conference on Business Process Management
A GP Process Mining Approach from a Structural Perspective
AICI '09 Proceedings of the International Conference on Artificial Intelligence and Computational Intelligence
Learning the Control-Flow of a Business Process Using ICN-Based Process Models
ICSOC-ServiceWave '09 Proceedings of the 7th International Joint Conference on Service-Oriented Computing
Discovering Concurrent Process Models in Data: A Rough Set Approach
RSFDGrC '09 Proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Discovery of process models from data and domain knowledge: a rough-granular approach
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Process mining as first-order classification learning on logs with negative events
BPM'07 Proceedings of the 2007 international conference on Business process management
Process discovery: capturing the invisible
IEEE Computational Intelligence Magazine
Mining process models with prime invisible tasks
Data & Knowledge Engineering
Discovery of processes and their interactions from data and domain knowledge
KES-AMSTA'10 Proceedings of the 4th KES international conference on Agent and multi-agent systems: technologies and applications, Part I
Discovering process models with genetic algorithms using sampling
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part I
Process discovery in event logs: An application in the telecom industry
Applied Soft Computing
An empirical comparison of static and dynamic business process mining
Proceedings of the 2011 ACM Symposium on Applied Computing
A business process mining application for internal transaction fraud mitigation
Expert Systems with Applications: An International Journal
Causal nets: a modeling language tailored towards process discovery
CONCUR'11 Proceedings of the 22nd international conference on Concurrency theory
Conformance checking of interacting processes with overlapping instances
BPM'11 Proceedings of the 9th international conference on Business process management
Simplifying mined process models: an approach based on unfoldings
BPM'11 Proceedings of the 9th international conference on Business process management
Distributed genetic process mining using sampling
PaCT'11 Proceedings of the 11th international conference on Parallel computing technologies
Optimizing the trade-off between complexity and conformance in process reduction
SSBSE'11 Proceedings of the Third international conference on Search based software engineering
Projection approaches to process mining using region-based techniques
Data Mining and Knowledge Discovery
Reality mining via process mining
AIC'10/BEBI'10 Proceedings of the 10th WSEAS international conference on applied informatics and communications, and 3rd WSEAS international conference on Biomedical electronics and biomedical informatics
Constructing workflow clusters based on appropriateness conformance checker
AIC'10/BEBI'10 Proceedings of the 10th WSEAS international conference on applied informatics and communications, and 3rd WSEAS international conference on Biomedical electronics and biomedical informatics
Process Mining: Overview and Opportunities
ACM Transactions on Management Information Systems (TMIS)
An empirical evaluation of process mining algorithms based on structural and behavioral similarities
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Distributed process discovery and conformance checking
FASE'12 Proceedings of the 15th international conference on Fundamental Approaches to Software Engineering
A Study of Quality and Accuracy Trade-offs in Process Mining
INFORMS Journal on Computing
Replaying history on process models for conformance checking and performance analysis
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Aggregating individual models of decision-making processes
CAiSE'12 Proceedings of the 24th international conference on Advanced Information Systems Engineering
Data transformation and semantic log purging for process mining
CAiSE'12 Proceedings of the 24th international conference on Advanced Information Systems Engineering
Improved artificial negative event generation to enhance process event logs
CAiSE'12 Proceedings of the 24th international conference on Advanced Information Systems Engineering
Efficient discovery of understandable declarative process models from event logs
CAiSE'12 Proceedings of the 24th international conference on Advanced Information Systems Engineering
Empirical assessment of business model transformations based on model simulation
ICMT'12 Proceedings of the 5th international conference on Theory and Practice of Model Transformations
Decomposing process mining problems using passages
PETRI NETS'12 Proceedings of the 33rd international conference on Application and Theory of Petri Nets
Repairing process models to reflect reality
BPM'12 Proceedings of the 10th international conference on Business Process Management
Domain-driven reduction optimization of recovered business processes
SSBSE'12 Proceedings of the 4th international conference on Search Based Software Engineering
Assessing and governing IT-staff behavior by performance-based simulation
Computers in Human Behavior
Simplifying discovered process models in a controlled manner
Information Systems
Getting a grasp on clinical pathway data: an approach based on process mining
PAKDD'12 Proceedings of the 2012 Pacific-Asia conference on Emerging Trends in Knowledge Discovery and Data Mining
On the exploitation of process mining for security audits: the process discovery case
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Understanding process behaviours in a large insurance company in Australia: a case study
CAiSE'13 Proceedings of the 25th international conference on Advanced Information Systems Engineering
Discovering block-structured process models from event logs - a constructive approach
PETRI NETS'13 Proceedings of the 34th international conference on Application and Theory of Petri Nets and Concurrency
Conformance checking in the large: partitioning and topology
BPM'13 Proceedings of the 11th international conference on Business Process Management
Decomposing Petri nets for process mining: A generic approach
Distributed and Parallel Databases
A Logic Framework for Incremental Learning of Process Models
Fundamenta Informaticae
Process Discovery and Conformance Checking Using Passages
Fundamenta Informaticae - Application and Theory of Petri Nets and Concurrency, 2012
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One of the aims of process mining is to retrieve a process model from an event log. The discovered models can be used as objective starting points during the deployment of process-aware information systems (Dumas et al., eds., Process-Aware Information Systems: Bridging People and Software Through Process Technology. Wiley, New York, 2005) and/or as a feedback mechanism to check prescribed models against enacted ones. However, current techniques have problems when mining processes that contain non-trivial constructs and/or when dealing with the presence of noise in the logs. Most of the problems happen because many current techniques are based on local information in the event log. To overcome these problems, we try to use genetic algorithms to mine process models. The main motivation is to benefit from the global search performed by this kind of algorithms. The non-trivial constructs are tackled by choosing an internal representation that supports them. The problem of noise is naturally tackled by the genetic algorithm because, per definition, these algorithms are robust to noise. The main challenge in a genetic approach is the definition of a good fitness measure because it guides the global search performed by the genetic algorithm. This paper explains how the genetic algorithm works. Experiments with synthetic and real-life logs show that the fitness measure indeed leads to the mining of process models that are complete (can reproduce all the behavior in the log) and precise (do not allow for extra behavior that cannot be derived from the event log). The genetic algorithm is implemented as a plug-in in the ProM framework.