The following pages link to Process Mining (Q3084368):
Displaying 40 items.
- Balanced multi-perspective checking of process conformance (Q272169) (← links)
- Revising history for cost-informed process improvement (Q335888) (← links)
- Improving active Mealy machine learning for protocol conformance testing (Q479471) (← links)
- Sequential pattern mining for ICT risk assessment and management (Q1633339) (← links)
- Model-based fault identification of discrete event systems using partially observed Petri nets (Q1716461) (← links)
- Ordered subtree mining via transactional mapping using a structure-preserving tree database schema (Q1749612) (← links)
- Multidisciplinary pattern recognition applications: a review (Q2026301) (← links)
- Edge, event and state removal: the complexity of some basic techniques that make transition systems Petri net implementable (Q2117174) (← links)
- Synthesis of Petri nets with restricted place-environments: classical and parameterized (Q2117176) (← links)
- Cooperative decision-making to minimize biased perceived value effect on business process decisions using partially observable Markov decision processes (Q2153392) (← links)
- Synthesis of inhibitor-reset Petri nets: algorithmic and complexity issues (Q2165238) (← links)
- Process mining: realization and optimization of process discovery algorithm (Q2225844) (← links)
- On the parameterized complexity of the synthesis of Boolean nets with restricted place environments (Q2235733) (← links)
- Scheduling surgery groups considering multiple downstream resources (Q2282567) (← links)
- Asymmetric hidden Markov models (Q2411263) (← links)
- Discovering Petri nets including silent transitions. A repairing approach based on structural patterns (Q2673764) (← links)
- Anti-alignments in Conformance Checking – The Dark Side of Process Models (Q2822655) (← links)
- Process Mining Reloaded: Event Structures as a Unified Representation of Process Models and Event Logs (Q2941141) (← links)
- Process Discovery Using Localized Events (Q2941158) (← links)
- Causal Nets: A Modeling Language Tailored towards Process Discovery (Q3090820) (← links)
- Aggregating Causal Runs into Workflow Nets (Q4909355) (← links)
- On the parameterized complexity of synthesizing Boolean Petri nets with restricted dependency (Q5019696) (← links)
- The Complexity of Synthesis of b-Bounded Petri Nets (Q5025061) (← links)
- Business Process Compliance Using Reference Models of Law (Q5039540) (← links)
- Synthesis of Pure and Impure Petri Nets with Restricted Place-environments: Complexity Issues (Q5044398) (← links)
- Some Basic Techniques Allowing Petri Net Synthesis: Complexity and Algorithmic Issues (Q5044399) (← links)
- Process Model Discovery: A Method Based on Transition System Decomposition (Q5166757) (← links)
- Discovering Block-Structured Process Models from Incomplete Event Logs (Q5166758) (← links)
- A Programming Language for Spatial Distribution of Net Systems (Q5166761) (← links)
- The 4C Spectrum of Fundamental Behavioral Relations for Concurrent Systems (Q5166766) (← links)
- A survey on concept drift adaptation (Q5176177) (← links)
- Rough Sets: From Rudiments to Challenges (Q5245176) (← links)
- Discovering Block-Structured Process Models from Event Logs - A Constructive Approach (Q5300879) (← links)
- Business analytics in service operations—Lessons from healthcare operations (Q6052601) (← links)
- On the Complexity of Techniques That Make Transition Systems Implementable by Boolean Nets (Q6070613) (← links)
- Data-aware process discovery for malware detection: an empirical study (Q6106460) (← links)
- Discovering workflow nets of concurrent iterative processes (Q6150111) (← links)
- Computing alignments with maximum synchronous moves via replay in coordinate planes (Q6191633) (← links)
- Analysis and application of transition systems based on Petri nets and relation matrices to business process management (Q6534515) (← links)
- ILP\textsuperscript{2} Miner -- process discovery for partially ordered event logs using integer linear programming (Q6535185) (← links)
