| Discovering data transfer routines from user interaction logs | 0 | 0.34 | 2022 |
| Seven Paradoxes Of Business Process Management In A Hyper-Connected World | 1 | 0.35 | 2021 |
| Business process variant analysis: Survey and classification | 3 | 0.40 | 2021 |
| Structural and Behavioral Biases in Process Comparison Using Models and Logs | 0 | 0.34 | 2021 |
| Opportunities and Challenges for Process Mining in Organizations: Results of a Delphi Study | 0 | 0.34 | 2021 |
| Robotic Process Mining: Vision And Challenges | 2 | 0.40 | 2021 |
| Identifying Candidate Routines for Robotic Process Automation from Unsegmented UI Logs | 1 | 0.35 | 2020 |
| Automatic Repair of Same-Timestamp Errors in Business Process Event Logs | 1 | 0.35 | 2020 |
| A Framework for Estimating Simplicity of Automatically Discovered Process Models Based on Structural and Behavioral Characteristics | 0 | 0.34 | 2020 |
| Scalable Alignment of Process Models and Event Logs: An Approach Based on Automata and S-Components | 0 | 0.34 | 2020 |
| Robidium - Automated Synthesis of Robotic Process Automation Scripts from UI Logs. | 0 | 0.34 | 2020 |
| Automated Repair of Process Models Using Non-local Constraints. | 0 | 0.34 | 2020 |
| Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs | 0 | 0.34 | 2020 |
| Automated discovery of declarative process models with correlated data conditions. | 2 | 0.38 | 2020 |
| Detection and removal of infrequent behavior from event streams of business processes | 1 | 0.35 | 2020 |
| Robust Drift Characterization from Event Streams of Business Processes | 2 | 0.35 | 2020 |
| Business Process Variant Analysis based on Mutual Fingerprints of Event Logs | 2 | 0.37 | 2020 |
| Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction | 0 | 0.34 | 2020 |
| Predicting process performance: A white‐box approach based on process models | 0 | 0.34 | 2019 |
| The Rise of Enforceable Business Processes from the Hashes of Blockchain-Based Smart Contracts. | 0 | 0.34 | 2019 |
| Discovering Automatable Routines from User Interaction Logs. | 1 | 0.36 | 2019 |
| Split miner: automated discovery of accurate and simple business process models from event logs | 9 | 0.51 | 2019 |
| Stage-based discovery of business process models from event logs | 2 | 0.36 | 2019 |
| Action Logger - Enabling Process Mining for Robotic Process Automation. | 0 | 0.34 | 2019 |
| Predictive Process Monitoring in Apromore. | 1 | 0.35 | 2018 |
| Filtering Spurious Events from Event Streams of Business Processes. | 4 | 0.49 | 2018 |
| Checking Business Process Correctness in Apromore. | 0 | 0.34 | 2018 |
| Abstract-and-Compare: A Family of Scalable Precision Measures for Automated Process Discovery. | 0 | 0.34 | 2018 |
| Complete and Interpretable Conformance Checking of Business Processes. | 7 | 0.47 | 2018 |
| Survey and Cross-benchmark Comparison of Remaining Time Prediction Methods in Business Process Monitoring | 6 | 0.47 | 2018 |
| Discovering Process Maps from Event Streams. | 4 | 0.42 | 2018 |
| Blockchains for Business Process Management - Challenges and Opportunities. | 43 | 1.71 | 2018 |
| Automated discovery of structured process models from event logs: The discover-and-structure approach. | 3 | 0.43 | 2018 |
| Interactive and Incremental Business Process Model Repair. | 0 | 0.34 | 2017 |
| Outcome-Oriented Predictive Process Monitoring: Review and Benchmark. | 11 | 0.65 | 2017 |
| Checking Business Process Modeling Guidelines in Apromore. | 0 | 0.34 | 2017 |
| Modeling Business Process Variability: Are We Done Yet? | 2 | 0.48 | 2017 |
| Filtering Out Infrequent Behavior from Business Process Event Logs. | 24 | 0.94 | 2017 |
| Business process variability modeling : A survey | 46 | 1.45 | 2017 |
| Mining Business Process Stages from Event Logs. | 0 | 0.34 | 2017 |
| Detecting Sudden and Gradual Drifts in Business Processes from Execution Traces. | 8 | 0.46 | 2017 |
| Scalable Conformance Checking of Business Processes. | 0 | 0.34 | 2017 |
| Nirdizati: A Web-Based Tool for Predictive Process Monitoring. | 0 | 0.34 | 2017 |
| Incremental and Interactive Business Process Model Repair in Apromore. | 0 | 0.34 | 2017 |
| Characterizing Drift from Event Streams of Business Processes. | 7 | 0.48 | 2017 |
| Predictive Business Process Monitoring with LSTM Neural Networks. | 11 | 0.57 | 2017 |
| Discovering Causal Factors Explaining Business Process Performance Variation. | 1 | 0.41 | 2017 |
| Business Process Performance Mining with Staged Process Flows. | 1 | 0.37 | 2016 |
| Behavior-based Process Comparison in Apromore. | 0 | 0.34 | 2016 |
| Business Process Management - Don't Forget to Improve the Process! | 4 | 0.48 | 2016 |
