A graph-based approach to interpreting recurrent neural networks in process mining

Khadijah Muzzammil Hanga; Yevgeniya Kovalchuk; Mohamed Medhat Gaber

doi:10.1109/ACCESS.2020.3025999

A graph-based approach to interpreting recurrent neural networks in process mining

Khadijah Muzzammil Hanga^*, Yevgeniya Kovalchuk, Mohamed Medhat Gaber

^*Corresponding author for this work

Birmingham City University

Research output: Contribution to journal › Article › peer-review

20 Citations (SciVal)

Original language	English
Pages (from-to)	172923-172938
Number of pages	16
Journal	IEEE Access
Volume	8
DOIs	https://doi.org/10.1109/ACCESS.2020.3025999
Publication status	Published (VoR) - 2020

Funding

This work was supported by the Petroleum Technology Development Fund of Nigeria.

Funders	Funder number
Petroleum Technology Development Fund of Nigeria

Keywords

Directly-follows graph
Explainable AI
Long short term memory
Process mining
Recurrent neural network

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10.1109/ACCESS.2020.3025999

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@article{22707fb1ff484f6dbe5ac1c82b43a56d,

title = "A graph-based approach to interpreting recurrent neural networks in process mining",

keywords = "Directly-follows graph, Explainable AI, Long short term memory, Process mining, Recurrent neural network",

author = "Hanga, {Khadijah Muzzammil} and Yevgeniya Kovalchuk and Gaber, {Mohamed Medhat}",

note = "Funding Information: This work was supported by the Petroleum Technology Development Fund of Nigeria. Publisher Copyright: {\textcopyright} This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/",

year = "2020",

doi = "10.1109/ACCESS.2020.3025999",

language = "English",

volume = "8",

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journal = "IEEE Access",

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TY - JOUR

T1 - A graph-based approach to interpreting recurrent neural networks in process mining

AU - Hanga, Khadijah Muzzammil

AU - Kovalchuk, Yevgeniya

AU - Gaber, Mohamed Medhat

N1 - Funding Information: This work was supported by the Petroleum Technology Development Fund of Nigeria. Publisher Copyright: © This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/

PY - 2020

Y1 - 2020

KW - Directly-follows graph

KW - Explainable AI

KW - Long short term memory

KW - Process mining

KW - Recurrent neural network

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U2 - 10.1109/ACCESS.2020.3025999

DO - 10.1109/ACCESS.2020.3025999

M3 - Article

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SN - 2169-3536

VL - 8

SP - 172923

EP - 172938

JO - IEEE Access

JF - IEEE Access

ER -

A graph-based approach to interpreting recurrent neural networks in process mining

Funding

Keywords

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