Search Results for author: Xixi Lu

Found 8 papers, 5 papers with code

The Imprecisions of Precision Measures in Process Mining

no code implementations3 May 2017 Niek Tax, Xixi Lu, Natalia Sidorova, Dirk Fahland, Wil M. P. van der Aalst

In process mining, precision measures are used to quantify how much a process model overapproximates the behavior seen in an event log.

Identifying Patient Groups based on Frequent Patterns of Patient Samples

no code implementations3 Apr 2019 Seyed Amin Tabatabaei, Xixi Lu, Mark Hoogendoorn, Hajo A. Reijers

In this paper we propose an approach that is able to find groups of patients based on a small sample of positive examples given by a domain expert.

Discovering Hierarchical Processes Using Flexible Activity Trees for Event Abstraction

1 code implementation16 Oct 2020 Xixi Lu, Avigdor Gal, Hajo A. Reijers

In this paper, we propose FlexHMiner, a three-step approach to discover processes with multi-level interleaved subprocesses.

Clustering

The Analysis of Online Event Streams: Predicting the Next Activity for Anomaly Detection

1 code implementation17 Mar 2022 Suhwan Lee, Xixi Lu, Hajo A. Reijers

We compare these predictive anomaly detection methods to four classical unsupervised anomaly detection approaches (such as Isolation forest and LOF) in the online setting.

Activity Prediction Unsupervised Anomaly Detection

CREATED: Generating Viable Counterfactual Sequences for Predictive Process Analytics

1 code implementation28 Mar 2023 Olusanmi Hundogan, Xixi Lu, Yupei Du, Hajo A. Reijers

Current methods to generate counterfactual sequences either do not take the process behavior into account, leading to generating invalid or infeasible counterfactual process instances, or heavily rely on domain knowledge.

counterfactual

Interactive Multi Interest Process Pattern Discovery

1 code implementation28 Aug 2023 Mozhgan Vazifehdoostirani, Laura Genga, Xixi Lu, Rob Verhoeven, Hanneke van Laarhoven, Remco Dijkman

Process pattern discovery methods (PPDMs) aim at identifying patterns of interest to users.

Using Reinforcement Learning to Optimize Responses in Care Processes: A Case Study on Aggression Incidents

no code implementations2 Oct 2023 Bart J. Verhoef, Xixi Lu

The goal was to find optimal policies for staff members when clients are displaying any type of aggressive behavior.

Q-Learning

Measuring the Stability of Process Outcome Predictions in Online Settings

1 code implementation13 Oct 2023 Suhwan Lee, Marco Comuzzi, Xixi Lu, Hajo A. Reijers

This paper proposes an evaluation framework for assessing the stability of models for online predictive process monitoring.

Decision Making Predictive Process Monitoring +1

Cannot find the paper you are looking for? You can Submit a new open access paper.