A Comparision of GNNs and LSTMs for Process Mining Applications – Aayam KHADKA
Aayam KHADKA
Master's thesis
A Comparision of GNNs and LSTMs for Process Mining Applications
Abstract:
The research question focuses on the comparative analysis of two models, GCN and multi-task LSTM regarding event log data of high-level processes. Order to Cash, and Purchase to Pay in process mining. The study aims to evaluate the implementation of these models in future event prediction and time prediction. High-level processes such as Order to Cash, and Purchase to Pay event log data may contain …more
Language used: English
Date on which the thesis was submitted / produced: 8. 2. 2024
Thesis defence
- Supervisor: Markus Eider, M.Sc.
Citation record
ISO 690-compliant citation record:
KHADKA, Aayam. \textit{A Comparision of GNNs and LSTMs for Process Mining Applications}. Online. Master's thesis. České Budějovice: University of South Bohemia in České Budějovice, Faculty of Science. 2024. Available from: https://theses.cz/id/7rd1sf/.
The right form of listing the thesis as a source quoted
KHADKA, Aayam. A Comparision of GNNs and LSTMs for Process Mining Applications. České Budějovice, 2024. diplomová práce (Mgr.). JIHOČESKÁ UNIVERZITA V ČESKÝCH BUDĚJOVICÍCH. Přírodovědecká fakulta
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Institution archiving the thesis and making it accessible: JIHOČESKÁ UNIVERZITA V ČESKÝCH BUDĚJOVICÍCH, Přírodovědecká fakultaUNIVERSITY OF SOUTH BOHEMIA IN ČESKÉ BUDĚJOVICE
Faculty of ScienceMaster programme / field:
Artificial Intelligence and Data Science / Artificial Intelligence and Data Science
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