67 citations · 94 across the 6 of their papers we have counts for
7 papers
Interactive Multi Interest Process Pattern Discovery
Mozhgan Vazifehdoostirani, Laura Genga, Xixi Lu +3
Process pattern discovery methods (PPDMs) aim at identifying patterns of interest to users. Existing PPDMs typically are unsupervised and focus on a single dimension of interest, s…
CREATED: Generating Viable Counterfactual Sequences for Predictive Process Analytics
Olusanmi Hundogan, Xixi Lu, Yupei Du +1
Predictive process analytics focuses on predicting future states, such as the outcome of running process instances. These techniques often use machine learning models or deep learn…
The Analysis of Online Event Streams: Predicting the Next Activity for Anomaly Detection
Suhwan Lee, Xixi Lu, Hajo A. Reijers
Anomaly detection in process mining focuses on identifying anomalous cases or events in process executions. The resulting diagnostics are used to provide measures to prevent fraudu…
Discovering Hierarchical Processes Using Flexible Activity Trees for Event Abstraction
Xixi Lu, Avigdor Gal, Hajo A. Reijers
Processes, such as patient pathways, can be very complex, comprising of hundreds of activities and dozens of interleaved subprocesses. While existing process discovery algorithms h…
Trace Clustering on Very Large Event Data in Healthcare Using Frequent Sequence Patterns
Xixi Lu, Seyed Amin Tabatabaei, Mark Hoogendoorn +1
Trace clustering has increasingly been applied to find homogenous process executions. However, current techniques have difficulties in finding a meaningful and insightful clusterin…
Identifying Patient Groups based on Frequent Patterns of Patient Samples
Seyed Amin Tabatabaei, Xixi Lu, Mark Hoogendoorn +1
Grouping patients meaningfully can give insights about the different types of patients, their needs, and the priorities. Finding groups that are meaningful is however very challeng…
The Imprecisions of Precision Measures in Process Mining
Niek Tax, Xixi Lu, Natalia Sidorova +2
In process mining, precision measures are used to quantify how much a process model overapproximates the behavior seen in an event log. Although several measures have been proposed…