Free choice Petri nets
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)
Workflow management: models, methods, and systems
Workflow management: models, methods, and systems
Discovery of Frequent Episodes in Event Sequences
Data Mining and Knowledge Discovery
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
DEXA '98 Proceedings of the 9th International Workshop on Database and Expert Systems Applications
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
Workflow mining: a survey of issues and approaches
Data & Knowledge Engineering
Process mining: a research agenda
Computers in Industry - Special issue: Process/workflow mining
Workflow Mining: Discovering Process Models from Event Logs
IEEE Transactions on Knowledge and Data Engineering
Rediscovering workflow models from event-based data using little thumb
Integrated Computer-Aided Engineering
Mining process models with non-free-choice constructs
Data Mining and Knowledge Discovery
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
The prom framework: a new era in process mining tool support
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
A novel approach of process mining with event graph
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part I
Workflow simulation for operational decision support using event graph through process mining
Decision Support Systems
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
Projection approaches to process mining using region-based techniques
Data Mining and Knowledge Discovery
Synergizing standard and ad-hoc processes
PAKM'06 Proceedings of the 6th international conference on Practical Aspects of Knowledge Management
Investigations on Stochastic Information Control Nets
Information Sciences: an International Journal
Journal of Intelligent Information Systems
Discovering process models from event multiset
Expert Systems with Applications: An International Journal
Towards a goal recognition model for the organizational memory
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part III
Mining the execution history of a software system to infer the best time for its adaptation
Proceedings of the ACM SIGSOFT 20th International Symposium on the Foundations of Software Engineering
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Despite the omnipresence of event logs in transactional information systems (cf. WFM, ERP, CRM, SCM, and B2B systems), historic information is rarely used to analyze the underlying processes. Process mining aims at improving this by providing techniques and tools for discovering process, control, data, organizational, and social structures from event logs, i.e., the basic idea of process mining is to diagnose business processes by mining event logs for knowledge. Given its potential and challenges it is no surprise that recently process mining has become a vivid research area. In this paper, a novel approach for process mining based on two event types, i.e., START and COMPLETE, is proposed. Information about the start and completion of tasks can be used to explicitly detect parallelism. The algorithm presented in this paper overcomes some of the limitations of existing algorithms such as the 驴-algorithm (e.g., short-loops) and therefore enhances the applicability of process mining.