Process Mining through Tree Automata

Michal R. Przybylek

Research.Publish.Connect.

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

Process Mining through Tree Automata

Topics: Evolution Strategies; Evolutionary Multiobjective Optimization; Machine Learning

In Proceedings of the 5th International Joint Conference on Computational Intelligence - Volume 1: ECTA, 152-159, 2013 , Vilamoura, Algarve, Portugal

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

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 18.188.20.56

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

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 (IJCCI 2013) - ECTA; ISBN 978-989-8565-77-8; ISSN 2184-3236, SciTePress, 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 (IJCCI 2013) - ECTA},
year={2013},
pages={152-159},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004555201520159},
isbn={978-989-8565-77-8},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 5th International Joint Conference on Computational Intelligence (IJCCI 2013) - ECTA
TI - Process Mining through Tree Automata
SN - 978-989-8565-77-8
IS - 2184-3236
AU - R. Przybylek, M.
PY - 2013
SP - 152
EP - 159
DO - 10.5220/0004555201520159
PB - SciTePress