2017
Exploration of New Paths in the Process Mining Practice - State of the Art
HALAŠKA, Michal a Roman ŠPERKAZákladní 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.