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Author: Michal R. Przybylek

Affiliation: University of Warsaw, Poland

Keyword(s): Evolutionary Algorithms, Process Mining, Theory Discovery, Tree Automata.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolution Strategies ; Evolutionary Computing ; Evolutionary Multiobjective Optimization ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Soft Computing ; Symbolic Systems

Abstract: This paper introduces a new approach to mine business processes. We define bi-directional tree languages together with their finite models and show how they represent business processes. Then we propose an evolutionary heuristic based on skeletal algorithms to learn bi-directional tree automata. We show how the heuristic can be used in process mining.

CC BY-NC-ND 4.0

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Paper citation in several formats:
R. Przybylek, M. (2013). Process Mining through Tree Automata. In Proceedings of the 5th International Joint Conference on Computational Intelligence - ECTA, (IJCCI 2013) ISBN 978-989-8565-77-8; ISSN 2184-2825, pages 152-159. DOI: 10.5220/0004555201520159

@conference{ecta13,
author={Michal {R. Przybylek}.},
title={Process Mining through Tree Automata},
booktitle={Proceedings of the 5th International Joint Conference on Computational Intelligence - ECTA, (IJCCI 2013)},
year={2013},
pages={152-159},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004555201520159},
isbn={978-989-8565-77-8},
issn={2184-2825},
}

TY - CONF

JO - Proceedings of the 5th International Joint Conference on Computational Intelligence - ECTA, (IJCCI 2013)
TI - Process Mining through Tree Automata
SN - 978-989-8565-77-8
IS - 2184-2825
AU - R. Przybylek, M.
PY - 2013
SP - 152
EP - 159
DO - 10.5220/0004555201520159

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