The inductive miner, a popular process discovery algorithm, issues a workflow net (WN) model by translation of an intermediate process tree (PT) representation, obtained from the considered event log.

The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Department of Biology, Massachusetts Institute of Technology, United States; ...

This paper discusses a fundamental problem in measuring the growth of knowledge and comparing the skills of people. New ...

The Gillespie algorithm provides statistically exact methods for simulating stochastic dynamics modeled as interacting sequences of discrete events including systems of biochemical reactions or ...

Abstract: Deterministic Turing machines and their associated complexity measures, by construction, cannot capture the complexity of the output of stochastic processes - like those in the real world.

As global financial markets become increasingly interconnected, accurately modelling correlations between assets is essential. Traditional models often assume static correlations, which fail to ...

This project provides an interactive Streamlit application for simulating and visualizing two important stochastic processes: the Poisson process and the Merton Jump Diffusion Model. Users can explore ...

Introduction: Accurately predicting the remaining mechanical equipment is of great significance for ensuring the safe operation of the equipment and improving economic efficiency. Methods: To ...