Work

Combining association rules mining with complex networks to monitor coupled risks

Year: 2019

Type: article

Source: Reliability Engineering & System Safety

DOI: 10.1016/j.ress.2019.02.013

Authors: Ying Zhou, Chenshuang Li, Lieyun Ding, Przemyslaw Sekula, Peter E.D. Love, Cheng Zhou

Institutions: Huazhong University of Science and Technology, University of Maryland, College Park, Curtin University

Language: English

Topic: Geotechnical Engineering and Analysis

Subfield: Safety, Risk, Reliability and Quality

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: closed

Funders: National Science Foundation, National Natural Science Foundation of China

Award: 地铁施工安全风险时空耦合机理及实景仿真预警技术研究

OpenAlex ID: W2912008996

FWCI: 9.073

Cites: 55

Cited by: 99

Related to: 10