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
Workflow Mining: Discovering Process Models from Event Logs
IEEE Transactions on Knowledge and Data Engineering
Generating a process model from a process audit log
BPM'03 Proceedings of the 2003 international conference on Business process management
Process mining for ubiquitous mobile systems: an overview and a concrete algorithm
UMICS'04 Proceedings of the Second CAiSE conference on Ubiquitous Mobile Information and Collaboration Systems
Genetic process mining: an experimental evaluation
Data Mining and Knowledge Discovery
Mining process models with non-free-choice constructs
Data Mining and Knowledge Discovery
Mining taxonomies of process models
Data & Knowledge Engineering
Abductive Workflow Mining Using Binary Resolution on Task Successor Rules
RuleML '08 Proceedings of the International Symposium on Rule Representation, Interchange and Reasoning on the Web
Process Mining towards Semantics
Advances in Web Semantics I
Discovering expressive process models from noised log data
IDEAS '09 Proceedings of the 2009 International Database Engineering & Applications Symposium
Mining invisible tasks from event logs
APWeb/WAIM'07 Proceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management
The need for a process mining evaluation framework in research and practice: position paper
BPM'07 Proceedings of the 2007 international conference on Business process management
Uma experiência em mineração de processos de manutenção de software
Companion Proceedings of the XIV Brazilian Symposium on Multimedia and the Web
Mining process models with prime invisible tasks
Data & Knowledge Engineering
Petri-net integration - An approach to support multi-agent process mining
Expert Systems with Applications: An International Journal
A Study of Quality and Accuracy Trade-offs in Process Mining
INFORMS Journal on Computing
Light Region-based Techniques for Process Discovery
Fundamenta Informaticae - Applications and Theory of Petri Nets and Other Models of Concurrency, 2010
A Logic Framework for Incremental Learning of Process Models
Fundamenta Informaticae
Learning probabilistic real-time automata from multi-attribute event logs
Intelligent Data Analysis - Dynamic Networks and Knowledge Discovery
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Process mining aims at extracting information from event logs to capture the business process as it is being executed. In spite of many researchers’ persistent efforts, there are still some challenging problems to be solved. In this paper, we focus on mining non-free-choice constructs, where the process models are represented in Petri nets. In fact, there are totally two kinds of causal dependencies between tasks, i.e., explicit and implicit ones. Implicit dependency is very hard to mine by current mining approaches. Thus we propose three theorems to detect implicit dependency between tasks and give their proofs. The experimental results show that our approach is powerful enough to mine process models with non-free-choice constructs.