Development of a Procedure for the Processing of Raw Sensor Data from Smart Devices for Utilisation in Process Mining

Rebecca Bulander, Bernhard Kölmel, Marcel Rath

2023

Abstract

This research paper proposes a novel approach to address the blind spot in process mining. The method involves collecting raw sensor data using a smartphone application and transforming it into an event log using Microsoft Power Query. The experimental process is then discovered using process mining to reduce the blind spot in process mining. The study demonstrates the potential of process mining in previously unexplored areas and shows how enterprises that could not previously benefit from process mining can now do so. The paper concludes by highlighting the importance of this research in bridging the gap in process mining and making it accessible to a wider range of businesses.

Paper Citation

in Harvard Style

Bulander R., Kölmel B. and Rath M. (2023). Development of a Procedure for the Processing of Raw Sensor Data from Smart Devices for Utilisation in Process Mining. In Proceedings of the 20th International Conference on Smart Business Technologies - Volume 1: ICSBT; ISBN 978-989-758-667-5, SciTePress, pages 193-202. DOI: 10.5220/0012122700003552

in Bibtex Style

@conference{icsbt23,
author={Rebecca Bulander and Bernhard Kölmel and Marcel Rath},
title={Development of a Procedure for the Processing of Raw Sensor Data from Smart Devices for Utilisation in Process Mining},
booktitle={Proceedings of the 20th International Conference on Smart Business Technologies - Volume 1: ICSBT},
year={2023},
pages={193-202},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012122700003552},
isbn={978-989-758-667-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Smart Business Technologies - Volume 1: ICSBT
TI - Development of a Procedure for the Processing of Raw Sensor Data from Smart Devices for Utilisation in Process Mining
SN - 978-989-758-667-5
AU - Bulander R.
AU - Kölmel B.
AU - Rath M.
PY - 2023
SP - 193
EP - 202
DO - 10.5220/0012122700003552
PB - SciTePress