Enhancement in Process Mining Model by Repairing Noisy Behavior in Event Log-Reference-Cited by-同舟云学术

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Enhancement in Process Mining Model by Repairing Noisy Behavior in Event Log

Published:2024 Issue: Volume:12 Page:82938-82948
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Shahzadi Shabnam¹^ORCID,Emam Walid²^ORCID,Shahzad Usman³^ORCID,Iftikhar Soofia⁴^ORCID,Ahmad Ishfaq⁵^ORCID,Sharma Gaurav⁶^ORCID

Affiliation:

1. Department of Mathematics and Big Data, Anhui University of Science and Technology, Huainan, China

2. Department of Statistics and Operations Research, Faculty of Science, King Saud University, Riyadh, Saudi Arabia

3. Department of Statistics, PMAS-Arid Agriculture University at Rawalpindi, Rawalpindi, Pakistan

4. Department of Statistics, Shaheed Benazir Bhutto Women University, Peshawar, Pakistan

5. Department of Mathematics and Statistics, International Islamic University at Islamabad, Islamabad, Pakistan

6. Department of Computer Science and Engineering, Seth Jai Parkash Mukand Lal Institute of Engineering and Technology, Haryana, India

Funder

King Saud University, Riyadh, Saudi Arabia, through the Researchers Supporting Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10551834.pdf?arnumber=10551834

Reference15 articles.

1. Using Process Mining to Bridge the Gap between BI and BPM

2. Process Mining

3. Filtering Out Infrequent Behavior from Business Process Event Logs

4. Improving Process Discovery Results by Filtering Outliers Using Conditional Behavioural Probabilities

5. ProM: The process mining toolkit;van der Aalst

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