@inproceedings{49f1d08de5e1442c80855aead7984313,
title = "Improving Parallel Pattern Discovery from Directly Follows Graph Model",
abstract = "Process model discovery is an important part of process mining. State-of-The-Art algorithms still have trouble detecting long parallel patterns with incomplete concurrency patterns. This paper proposes a method to exploit the characteristics of parallel block patterns to discover an accurate parallel block. The experiment compared the proposed method with state-of-The-Art algorithms, Inductive Miner and Split Miner. The quality of the discovery results is measured using fitness, precision, and f-score. The experimental results show that the proposed method outperforms the state-of-The-Art algorithm in discovering long parallel block patterns with incomplete concurrency patterns.",
keywords = "concurrency pattern, directly follows graph, parallel pattern, process mining, process model discovery",
author = "Indra Waspada and Riyanarto Sarno and Astuti, {Endang Siti} and Prasetyo, {Hanung Nindito} and Raden Budirahario",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 5th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2022 ; Conference date: 08-12-2022 Through 09-12-2022",
year = "2022",
doi = "10.1109/ISRITI56927.2022.10053029",
language = "English",
series = "2022 5th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "769--774",
booktitle = "2022 5th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2022",
address = "United States",
}