Identifying Common Cause Failures using Score Data Mining

  • Yonghui Ma Xi’an Translation Institute Xi’an, Shaanxi, China

Abstract

 In this study, we employed data mining to accurately evaluate the failure rate of secure computers, providing valuable data information for our decision-making layer. This technique is beneficial not only for our decision-making but also for the long-term operation of our systems. Through in-depth analysis, we discovered inherent connections among various failure events and their mutual impacts. These findings contribute to  a deeper understanding of common cause failures in secure computer systems and prepare for enhancing their security. Establishing a robust information system is essential to meet the increasing demands, especially in the complex internet environment where secure digital computer systems face ever-growing challenges.

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Published
2024-12-26
How to Cite
MA, Yonghui. Identifying Common Cause Failures using Score Data Mining. Journal of Digital Information Management(JDIM), [S.l.], v. 22, n. 4, dec. 2024. ISSN 0972-7272. Available at: <https://www.dline.info/ojs/index.php/jdim/article/view/388>. Date accessed: 21 apr. 2026.