Conformance Checking Based on Partially Ordered Event Data. - Xixi Lu 001; Dirk Fahland; Wil M. P. van der Aalst (Business Process Management Workshops, 2014)

Conformance checking in healthcare based on partially ordered event data. - Xixi Lu 001; Ronny Mans; Dirk Fahland; Wil M. P. van der Aalst (ETFA, 2014)

Detecting Deviating Behaviors Without Models. - Xixi Lu 001; Dirk Fahland; Frank J. H. M. van den Biggelaar; Wil M. P. van der Aalst (Business Process Management Workshops, 2015)

PM ^2 : A Process Mining Project Methodology. - Maikel L. van Eck; Xixi Lu 001; Sander J. J. Leemans; Wil M. P. van der Aalst (CAiSE, 2015)

Discovering Interacting Artifacts from ERP Systems. - Xixi Lu 001; Marijn Nagelkerke; Dennis van de Wiel; Dirk Fahland (IEEE Trans. Serv. Comput., 2015)

Interactively Exploring Logs and Mining Models with Clustering, Filtering, and Relabeling. - Xixi Lu 001; Dirk Fahland; Wil M. P. van der Aalst (BPM (Demos), 2016)

Handling Duplicated Tasks in Process Discovery by Refining Event Labels. - Xixi Lu 001; Dirk Fahland; Frank J. H. M. van den Biggelaar; Wil M. P. van der Aalst (BPM, 2016)

Discovering Interacting Artifacts from ERP Systems (Extended Abstract). - Dirk Fahland; Xixi Lu 001; Marijn Nagelkerke; Dennis van de Wiel (EMISA Forum, 2016)

Semi-supervised Log Pattern Detection and Exploration Using Event Concurrence and Contextual Information. - Xixi Lu 001; Dirk Fahland; Robert Andrews 001; Suriadi Suriadi; Moe Thandar Wynn; Arthur H. M. ter Hofstede; Wil M. P. van der Aalst (OTM Conferences (1), 2017)

A Conceptual Framework for Understanding Event Data Quality for Behavior Analysis. - Xixi Lu 001; Dirk Fahland (ZEUS, 2017)

Linking data and process perspectives for conformance analysis. - Mahdi Alizadeh; Xixi Lu 001; Dirk Fahland; Nicola Zannone; Wil M. P. van der Aalst (Comput. Secur., 2018)

The imprecisions of precision measures in process mining. - Niek Tax; Xixi Lu 001; Natalia Sidorova; Dirk Fahland; Wil M. P. van der Aalst (Inf. Process. Lett., 2018)

Trace Clustering on Very Large Event Data in Healthcare Using Frequent Sequence Patterns. - Xixi Lu 001; Seyed Amin Tabatabaei; Mark Hoogendoorn; Hajo A. Reijers (BPM, 2019)

Towards Understanding Aggressive Behavior in Residential Care Facilities Using Process Mining. - Jelmer Jan Koorn; Xixi Lu 001; Henrik Leopold; Hajo A. Reijers (ER Workshops, 2019)

Identifying Patient Groups based on Frequent Patterns of Patient Samples. - Seyed Amin Tabatabaei; Xixi Lu 001; Mark Hoogendoorn; Hajo A. Reijers (HealthCom, 2019)

Automated Robotic Process Automation: A Self-Learning Approach. - Junxiong Gao; Sebastiaan J. van Zelst; Xixi Lu 001; Wil M. P. van der Aalst (OTM Conferences, 2019)

Looking for Meaning: Discovering Action-Response-Effect Patterns in Business Processes. - Jelmer Jan Koorn; Xixi Lu 001; Henrik Leopold; Hajo A. Reijers (BPM, 2020)

Discovering Hierarchical Processes Using Flexible Activity Trees for Event Abstraction. - Xixi Lu 001; Avigdor Gal; Hajo A. Reijers (ICPM, 2020)

Towards Understanding the Role of the Human in Event Log Extraction. - Vinicius Stein Dani; Henrik Leopold; Jan Martijn E. M. van der Werf; Xixi Lu 001; Iris Beerepoot; Jelmer Jan Koorn; Hajo A. Reijers (Business Process Management Workshops, 2021)

DEUCE: A Methodology for Detecting Unauthorized Access of Electronic Health Records Using Process Mining. - Victor van Andel; Iris Beerepoot; Xixi Lu 001; Inge van de Weerd; Hajo A. Reijers (ECIS, 2021)

Seeing the Signs of Workarounds: A Mixed-Methods Approach to the Detection of Nurses' Process Deviations. - Iris Beerepoot; Xixi Lu 001; Inge van de Weerd; Hajo A. Reijers (HICSS, 2021)

Bringing Rigor to the Qualitative Evaluation of Process Mining Findings: An Analysis and a Proposal. - Jelmer Jan Koorn; Iris Beerepoot; Vinicius Stein Dani; Xixi Lu 001; Inge van de Weerd; Henrik Leopold; Hajo A. Reijers (ICPM, 2021)

Continuous Performance Evaluation for Business Process Outcome Monitoring. - Suhwan Lee; Marco Comuzzi; Xixi Lu 001 (ICPM Workshops, 2021)

Active Anomaly Detection for Key Item Selection in Process Auditing. - Ruben Post; Iris Beerepoot; Xixi Lu 001; Stijn Kas; Sebastiaan Wiewel; Angelique Koopman; Hajo A. Reijers (ICPM Workshops, 2021)

Interactive clustering: a scoping review. - Thais Neubauer; Sarajane Marques Peres; Marcelo Fantinato; Xixi Lu 001; Hajo A. Reijers (Artif. Intell. Rev., 2021)

Uncovering Complex Relations in Patient Pathways based on Statistics: the Impact of Clinical Actions. - Jelmer Jan Koorn; Xixi Lu 001; Felix Mannhardt; Henrik Leopold; Hajo Alexander Reijers (HICSS, 2022)

Mining Statistical Relations for Better Decision Making in Healthcare Processes. - Jelmer Jan Koorn; Xixi Lu 001; Henrik Leopold; Niels Martin; Sam Verboven; Hajo A. Reijers (ICPM, 2022)

The Analysis of Online Event Streams: Predicting the Next Activity for Anomaly Detection. - Suhwan Lee; Xixi Lu 001; Hajo A. Reijers (RCIS, 2022)

From action to response to effect: Mining statistical relations in work processes. - Jelmer Jan Koorn; Xixi Lu 001; Henrik Leopold; Hajo A. Reijers (Inf. Syst., 2022)

Process mining for healthcare: Characteristics and challenges. - Jorge Munoz-Gama; Niels Martin; Carlos Fernández-Llatas; Owen A. Johnson; Marcos Sepúlveda; Emmanuel Helm; Victor Galvez-Yanjari; Eric Rojas 001; Antonio Martinez-Millana; Davide Aloini; Ilaria Angela Amantea; Robert Andrews 001; et al. (J. Biomed. Informatics, 2022)

Interactive Multi-interest Process Pattern Discovery. - Mozhgan Vazifehdoostirani; Laura Genga; Xixi Lu 001; Rob Verhoeven; Hanneke van Laarhoven; Remco M. Dijkman (BPM, 2023)

Using Reinforcement Learning to Optimize Responses in Care Processes: A Case Study on Aggression Incidents. - Bart J. Verhoef; Xixi Lu 001 (Business Process Management Workshops, 2023)

Context-Based Activity Label-Splitting. - Sebastiaan J. van Zelst; Jonas Tai; Moritz Langenberg; Xixi Lu 001 (BPM, 2023)

CREATED: Generating Viable Counterfactual Sequences for Predictive Process Analytics. - Olusanmi Hundogan; Xixi Lu 001; Yupei Du; Hajo A. Reijers (CAiSE, 2023)

Getting Your RPA Priorities Straight with Process Mining: The PLOST Framework. - Hilde E. Jongeling; Xixi Lu 001; Iris Beerepoot; Inge van de Weerd; Hajo A. Reijers (ECIS, 2023)

A Window of Opportunity: Active Window Tracking for Mining Work Practices. - Iris Beerepoot; Daniël Barenholz; Stijn Beekhuis; Jens Gulden; Suhwan Lee; Xixi Lu 001; Sietse Overbeek; Inge van de Weerd; Jan Martijn E. M. van der Werf; Hajo A. Reijers (ICPM, 2023)

Measuring the Stability of Process Outcome Predictions in Online Settings. - Suhwan Lee; Marco Comuzzi; Xixi Lu 001; Hajo A. Reijers (ICPM, 2023)

Turning Logs into Lumber: Preprocessing Tasks in Process Mining. - Ying Liu; Vinicius Stein Dani; Iris Beerepoot; Xixi Lu 001 (ICPM Workshops, 2023)

IMPresseD: Outcome-Oriented Interactive Multi-Interest Process Pattern Discovery Tool. - Mozhgan Vazifehdoostirani; Laura Genga; Xixi Lu 001; Remco M. Dijkman (ICPM Doctoral Consortium / Demo, 2023)

Generating Process Anomalies with Markov Chains: A Pattern-Driven Approach. - Jochem Veldman; Xixi Lu 001; Wouter van der Waal; Marcus Dees; Inge van de Weerd (ICPM Workshops, 2023)

Partial-order-based process mining: a survey and outlook. - Sander J. J. Leemans; Sebastiaan J. van Zelst; Xixi Lu 001 (Knowl. Inf. Syst., 2023)

Uncovering Patterns for Local Explanations in Outcome-Based Predictive Process Monitoring. - Andrei Buliga 001; Mozhgan Vazifehdoostirani; Laura Genga; Xixi Lu 001; Remco M. Dijkman; Chiara Di Francescomarino; Chiara Ghidini; Hajo A. Reijers (BPM, 2024)

Improving Simplicity by Discovering Nested Groups in Declarative Models. - Vlad Paul Cosma; Axel Kjeld Fjelrad Christfort; Thomas T. Hildebrandt; Xixi Lu 001; Hajo A. Reijers; Tijs Slaats (CAiSE, 2024)

HOEG: A New Approach for Object-Centric Predictive Process Monitoring. - Tim K. Smit; Hajo A. Reijers; Xixi Lu 001 (CAiSE, 2024)

Explainable and Effective Process Remaining Time Prediction Using Feature-Informed Cascade Prediction Model. - Na Guo; Cong Liu 012; Caihong Li; Qingtian Zeng; Chun Ouyang 001; Qingzhi Liu; Xixi Lu 001 (IEEE Trans. Serv. Comput., 2024)

FoldA: Computing Partial-Order Alignments Using Directed Net Unfoldings. - Douwe Geurtjens; Xixi Lu 001 (BPM, 2025)

The Role of Explanation Styles and Perceived Accuracy on Decision Making in Predictive Process Monitoring. - Soobin Chae; Suhwan Lee; Hanna Hauptmann; Hajo A. Reijers; Xixi Lu 001 (CAiSE (2), 2025)

Investigating Tailored Retraining for Online Process Predictions Using Log Features. - Suhwan Lee; Xixi Lu 001; Hajo A. Reijers (RCIS (1), 2025)

Reinforcement learning for optimizing responses in care processes. - Olusanmi A. Hundogan; Bart J. Verhoef; Patrick Theeven; Hajo A. Reijers; Xixi Lu 001 (Data Knowl. Eng., 2025)

Business Process Remaining Time Prediction Based on Incremental Event Logs. - Na Guo; Cong Liu 012; Qi Mo; Jian Cao; Chun Ouyang 001; Xixi Lu 001; Qingtian Zeng (IEEE Trans. Serv. Comput., 2025)

Putting the SWORD to the Test: Finding Workarounds with Process Mining. - Wouter van der Waal; Inge van de Weerd; Iris Beerepoot; Xixi Lu 001; Teus H. Kappen; Saskia Haitjema; Hajo A. Reijers (Bus. Inf. Syst. Eng., 2025)

Process Mining on Distributed Data Sources. - Maximilian Weisenseel; Julia Andersen; Samira Akili; Christian Imenkamp; Hendrik Reiter; Christoffer Rubensson; Wilhelm Hasselbring; Olaf Landsiedel; Xixi Lu 001; Jan Mendling; Florian Tschorsch; Matthias Weidlich 001; et al. (CoRR, 2025)

The Impact of Event Data Partitioning on Privacy-aware Process Discovery. - Jungeun Lim; Stephan A. Fahrenkrog-Petersen; Xixi Lu 001; Jan Mendling; Minseok Song 001 (CoRR, 2025)

From Chaos to Automation: Enabling the Use of Unstructured Data for Robotic Process Automation. - Kelly Kurowski; Xixi Lu 001; Hajo A. Reijers (CoRR, 2025)