Evaluation datasets and results of the paper "Efficient Online Computation of Business Process State From Trace Prefixes via N-Gram Indexing"

Event logs, process models, and results corresponding to the paper "Efficient Online Computation of Business Process State From Trace Prefixes via N-Gram Indexing". Inputs: preprocessed event logs and discovered process models (and their characteristics) used in the evaluation. Real-life: preprocessed event logs (xes and csv) corresponding to the real-life processes used in the evaluation. Process models (bpmn and pnml) discovered with the Inductive Miner infrequent for thresholds of 10%, 20%, and 50%. Characteristics (txt) of the event logs and process models. Ongoing cases result of splitting each case in the preprocessed event logs (under folder split). Synthetic: simulated event logs (csv) corresponding to the synthetic processes used in the evaluation. Designed process models (bpmn and pnml). Ongoing cases result of splitting each case in the preprocessed event logs (under folder split). Ongoing cases with injected noise as described in the publication (under folders noise_1, noise_2, and noise_3).