D 2017

Exploration of New Paths in the Process Mining Practice - State of the Art

HALAŠKA, Michal a Roman ŠPERKA

Základní údaje

Originální název

Exploration of New Paths in the Process Mining Practice - State of the Art

Autoři

HALAŠKA, Michal (203 Česká republika, domácí) a Roman ŠPERKA (703 Slovensko, domácí)

Vydání

Karvina, 10th International Scientific Conference - Karviná Ph.D. Conference on Business and Economics, od s. 38-51, 14 s. 2017

Nakladatel

SU OPF Karviná

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Odkazy

Kód RIV

RIV/47813059:19520/17:00010901

Organizační jednotka

Obchodně podnikatelská fakulta v Karviné

ISBN

978-80-7510-265-2

Klíčová slova anglicky

Process mining; Stae of the art; Business process management; Industrial application
Změněno: 7. 2. 2020 10:57, RNDr. Daniel Jakubík

Anotace

V originále

The aim of the paper is to explore new paths in process mining research and practical applications. We will be focused mainly on business practice, but not restricted to it since the world of science is moving towards interdisciplinarity in recent years. Process mining investigates information from business data stored mainly in enterprise information systems and has a great potential in the future, because of the rising amount of data produced by the businesses. The discipline is not scientifically spread nowadays in a significant way. One of the main reasons might be the lack of knowledge about process mining and advantages one can achieve with it. In this paper, firstly, we present systematic literature review in the form of state of the art in the process mining field. Based on the literature review, we present, which parts of process mining have been successfully transferred into practice based on related articles, case studies and software packages and explore potential new paths of process mining applications. In conclusion, we discuss the results and potentials of process mining discipline.