D 2017

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

HALAŠKA, Michal and Roman ŠPERKA

Basic information

Original name

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

Authors

HALAŠKA, Michal (203 Czech Republic, belonging to the institution) and Roman ŠPERKA (703 Slovakia, belonging to the institution)

Edition

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

Publisher

SU OPF Karviná

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

RIV identification code

RIV/47813059:19520/17:00010901

Organization unit

School of Business Administration in Karvina

ISBN

978-80-7510-265-2

Keywords in English

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

Abstract

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.