Discovered Process Models from Noisy Logs

The dataset consists of three folders:Systems: Three public event logs: Sepsis Cases, RTFMS, and BPIC 2012.Logs: Clean and noisy logs derived from the base systems.From each base log, we created samples of seven sizes (1000, 2000, 4000, 10000, 20000, 40000, 100000 traces) using sampling with replacement, yielding 21 clean logs.Noise was then added using $\snip$ across seven intensity levels (0.1%, 0.2%, 0.4%, 1.0%, 2.0%, 4.0%, 10.0%) and five noise types (absence, insertion, ordering, substitution, mixed). Percentages refer to the number of trace-level injections.Each configuration was repeated five times, producing 3,675 noisy logs and a total of 3,696 logs.Models: Contains discovered models for all clean logs and a random subset of noisy logs (incomplete), using the Alpha, Heuristics, and Inductive miners.