Journal of the ACM (JACM)
Deriving Petri Nets from Finite Transition Systems
IEEE Transactions on Computers
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Workflow management: models, methods, and systems
Workflow management: models, methods, and systems
ICATPN '97 Proceedings of the 18th International Conference on Application and Theory of Petri Nets
Model-Based Clustering and Visualization of Navigation Patterns on a Web Site
Data Mining and Knowledge Discovery
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
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
Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
Interactive workflow mining: requirements, concepts and implementation
Data & Knowledge Engineering - Special issue: Business process management
Genetic process mining: an experimental evaluation
Data Mining and Knowledge Discovery
Business process mining: An industrial application
Information Systems
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
Conformance checking of processes based on monitoring real behavior
Information Systems
Decompositional Rule Extraction from Support Vector Machines by Active Learning
IEEE Transactions on Knowledge and Data Engineering
Building acceptable classification models for financial engineering applications: thesis summary
ACM SIGKDD Explorations Newsletter
Robust Process Discovery with Artificial Negative Events
The Journal of Machine Learning Research
Top-down induction of first-order logical decision trees
Artificial Intelligence
Best practices in business process redesign: validation of a redesign framework
Computers in Industry
Change patterns and change support features in process-aware information systems
CAiSE'07 Proceedings of the 19th international conference on Advanced information systems engineering
Specifying process-aware access control rules in SBVR
RuleML'07 Proceedings of the 2007 international conference on Advances in rule interchange and applications
Proceedings of the 5th international conference on Business process management
BPM'07 Proceedings of the 5th international conference on Business process management
What makes process models understandable?
BPM'07 Proceedings of the 5th international conference on Business process management
Modeling control objectives for business process compliance
BPM'07 Proceedings of the 5th international conference on Business process management
Fuzzy mining: adaptive process simplification based on multi-perspective metrics
BPM'07 Proceedings of the 5th international conference on Business process management
Approaching process mining with sequence clustering: experiments and findings
BPM'07 Proceedings of the 5th international conference on Business process management
History-based joins: semantics, soundness and implementation
BPM'06 Proceedings of the 4th international conference on Business Process Management
Ant-based approach to the knowledge fusion problem
ANTS'06 Proceedings of the 5th international conference on Ant Colony Optimization and Swarm Intelligence
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
Genetic process mining: a basic approach and its challenges
BPM'05 Proceedings of the Third international conference on Business Process Management
The co-creation machine: managing co-creative processes for the crowd
EGOVIS'12/EDEM'12 Proceedings of the 2012 Joint international conference on Electronic Government and the Information Systems Perspective and Electronic Democracy, and Proceedings of the 2012 Joint international conference on Advancing Democracy, Government and Governance
Summarizing clinical pathways from event logs
Journal of Biomedical Informatics
A comparative study of dimensionality reduction techniques to enhance trace clustering performances
Expert Systems with Applications: An International Journal
Discovery of clinical pathway patterns from event logs using probabilistic topic models
Journal of Biomedical Informatics
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The abundant availability of data is typical for information-intensive organizations. Usually, discerning knowledge from vast amounts of data is a challenge. Similarly, discovering business process models from information system event logs is definitely non-trivial. Within the analysis of event logs, process discovery, which can be defined as the automated construction of structured process models from such event logs, is an important learning task. However, the discovery of these processes poses many challenges. First of all, human-centric processes are likely to contain a lot of noise as people deviate from standard procedures. Other challenges are the discovery of so-called non-local, non-free choice constructs, duplicate activities, incomplete event logs and the inclusion of prior knowledge. In this paper, we present an empirical evaluation of three state-of-the-art process discovery techniques: Genetic Miner, AGNEs and HeuristicsMiner. Although the detailed empirical evaluation is the main contribution of this paper to the literature, an in-depth discussion of a number of different evaluation metrics for process discovery techniques and a thorough discussion of the validity issue are key contributions as well.