AT-KDE partitions arrival data into global, weekday, and intraday segments, fits a kernel density estimator per segment, and thereby improves case arrival simulation accuracy over static and dynamic baselines.
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A Divide-and-Conquer Approach for Modeling Arrival Times in Business Process Simulation
AT-KDE partitions arrival data into global, weekday, and intraday segments, fits a kernel density estimator per segment, and thereby improves case arrival simulation accuracy over static and dynamic baselines.