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)
A Machine Learning Approach to Workflow Management
ECML '00 Proceedings of the 11th European Conference on Machine Learning
Mining Process Models from Workflow Logs
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Workflow mining: a survey of issues and approaches
Data & Knowledge Engineering
Process mining: a research agenda
Computers in Industry - Special issue: Process/workflow mining
Discovering workflow models from activities' lifespans
Computers in Industry - Special issue: Process/workflow mining
Workflow Mining: Discovering Process Models from Event Logs
IEEE Transactions on Knowledge and Data Engineering
A Rule-Based Approach for Process Discovery: Dealing with Noise and Imbalance in Process Logs
Data Mining and Knowledge Discovery
Mining configurable enterprise information systems
Data & Knowledge Engineering
Discovering the software process by means of stochastic workflow analysis
Journal of Systems Architecture: the EUROMICRO Journal - Special issue: AGILE methodologies for software production
Genetic process mining: an experimental evaluation
Data Mining and Knowledge Discovery
A novel approach for process mining based on event types
Journal of Intelligent Information Systems
A Petri net-based model for verification of obligations and accountability in cooperative systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
CHANGEMINER: a solution for discovering IT change templates from past execution traces
IM'09 Proceedings of the 11th IFIP/IEEE international conference on Symposium on Integrated Network Management
Generating a process model from a process audit log
BPM'03 Proceedings of the 2003 international conference on Business process management
SePMa: an algorithm that mining sequential processes from hybrid log
PAKDD'07 Proceedings of the 2007 international conference on Emerging technologies in knowledge discovery and data mining
Learning to order: a relational approach
MCD'07 Proceedings of the 3rd ECML/PKDD international conference on Mining complex data
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part I
A new method for business process mining based on state equation
WISS'10 Proceedings of the 2010 international conference on Web information systems engineering
Workflow simulation for operational decision support using event graph through process mining
Decision Support Systems
A hybrid approach for process mining: using from-to chart arranged by genetic algorithms
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
Analysis of multi-agent interactions with process mining techniques
MATES'06 Proceedings of the 4th German conference on Multiagent System Technologies
Application of tree-structured data mining for analysis of process logs in XML format
AusDM '12 Proceedings of the Tenth Australasian Data Mining Conference - Volume 134
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Workflow management technology requires the existence of explicit process models, i.e. a completely specified workflow design needs to be developed in order to enact a given workflow process. Such a workflow design is time consuming and often subjective and incomplete. We propose a learning method that uses the workflow log, which contains information about the process as it is actually being executed. In our method we will use a logistic regression model to discover the direct connections between events of a realistic not complete workflow log with noise. Experimental results are used to show the usefulness and limitations of the presented method.