TY - GEN
T1 - A Novel Deterministic Algorithm for Optimizing Workflow Discovery with Short-Loops in Large Event-Log
AU - Fauzan, Hermawan Bin
AU - Saikhu, Ahmad
AU - Sarno, Riyanarto
AU - Rachman, Fika Hastarista
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - One of the main problems in process discovery is obtaining correctness workflow when analysing a Large Event-Log with high concurrent control flow, complex short loops, and uncertainty. T+ is a novel method to construct a standardization workflow model in the SWF-Net for discovering a large event log with high concurrency free-choice, parallel, and non-free-choice control flow within an uncertainty short-loop. By the testing result, the short-loop construction places with the optimistic and pessimistic One-Loop-Free approach have the best results compared to other existing methods based on deterministic, heuristic, genetic, inductive, also Integer Linear Programming algorithms. T+ has proofed achieved completeness and correctness SWF-Net with high rate on fitness recall up to 95% and appropriateness up to 90%.
AB - One of the main problems in process discovery is obtaining correctness workflow when analysing a Large Event-Log with high concurrent control flow, complex short loops, and uncertainty. T+ is a novel method to construct a standardization workflow model in the SWF-Net for discovering a large event log with high concurrency free-choice, parallel, and non-free-choice control flow within an uncertainty short-loop. By the testing result, the short-loop construction places with the optimistic and pessimistic One-Loop-Free approach have the best results compared to other existing methods based on deterministic, heuristic, genetic, inductive, also Integer Linear Programming algorithms. T+ has proofed achieved completeness and correctness SWF-Net with high rate on fitness recall up to 95% and appropriateness up to 90%.
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UR - http://www.scopus.com/inward/record.url?scp=85191336941&partnerID=8YFLogxK
U2 - 10.1109/ICTECA60133.2023.10490829
DO - 10.1109/ICTECA60133.2023.10490829
M3 - Conference contribution
AN - SCOPUS:85191336941
T3 - 1st International Conference on Technology, Engineering, and Computing Applications: Trends in Technology Development in the Era of Society 5.0, ICTECA 2023
BT - 1st International Conference on Technology, Engineering, and Computing Applications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st International Conference on Technology, Engineering, and Computing Applications, ICTECA 2023
Y2 - 20 December 2023 through 22 December 2023
ER -