Behavioral Recommender System for Process Automation Steps

Mohammadreza Fani Sani; Fatemeh Nikraftar; Michal Sroka; Andrea Burattin

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Paper

Behavioral Recommender System for Process Automation Steps

Topics: Business Intelligence; Data Analytics; Data Science

In Proceedings of the 12th International Conference on Data Science, Technology and Applications DATA - Volume 1, 255-262, 2023 , Rome, Italy

Authors: Mohammadreza Fani Sani ¹ ; Fatemeh Nikraftar ² ; Michal Sroka ¹ and Andrea Burattin ²

Affiliations: ¹ Microsoft Development Copenhagen, Denmark ; ² Technical University of Denmark, Copenhagen, Denmark

Keyword(s): Process Mining, Process Automation, Microsoft Process Automation, Recommender Systems.

Abstract: Process automation is used to increase the performance of processes. One of the leading process automation tools is Microsoft Process Advisor. This tool requires users to select the corresponding connectors for the automation of different tasks, which can be a challenging endeavor for users who have limited business knowledge as there are various connectors and templates exist. To overcome this challenge, we present a process-aware recommender system for connectors that eases the labeling task for end users. The results of applying this method to real event logs indicate that it can recommend relevant connectors and, therefore, the usage of the same mechanism might be generalized to broader contexts.

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Paper citation in several formats:

Fani Sani, M.; Nikraftar, F.; Sroka, M. and Burattin, A. (2023). Behavioral Recommender System for Process Automation Steps. In Proceedings of the 12th International Conference on Data Science, Technology and Applications - DATA; ISBN 978-989-758-664-4; ISSN 2184-285X, SciTePress, pages 255-262. DOI: 10.5220/0012060800003541

@conference{data23,
author={Mohammadreza {Fani Sani}. and Fatemeh Nikraftar. and Michal Sroka. and Andrea Burattin.},
title={Behavioral Recommender System for Process Automation Steps},
booktitle={Proceedings of the 12th International Conference on Data Science, Technology and Applications - DATA},
year={2023},
pages={255-262},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012060800003541},
isbn={978-989-758-664-4},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Data Science, Technology and Applications - DATA
TI - Behavioral Recommender System for Process Automation Steps
SN - 978-989-758-664-4
IS - 2184-285X
AU - Fani Sani, M.
AU - Nikraftar, F.
AU - Sroka, M.
AU - Burattin, A.
PY - 2023
SP - 255
EP - 262
DO - 10.5220/0012060800003541
PB - SciTePress