Association rule learning to improve deficiency inspection in port state control-Reference-Cited by-同舟云学术

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Association rule learning to improve deficiency inspection in port state control

Published:2019-11-07 Issue:3 Volume:47 Page:332-351
ISSN:0308-8839
Container-title:Maritime Policy & Management
language:en
Short-container-title:Maritime Policy & Management

Author:

Chung Wu-Hsun¹²,Kao Sheng-Long¹²,Chang Chun-Min¹,Yuan Chien-Chung³

Affiliation:

1. Department of Transportation Science, National Taiwan Ocean University, Keelung, Taiwan

2. The Center of Excellence for Ocean Engineering, National Taiwan Ocean University, Keelung, Taiwan

3. Department of Navigation, Taipei University of Marine Technology, New Taipei, Taiwan

Publisher

Informa UK Limited

Subject

Management, Monitoring, Policy and Law,Ocean Engineering,Transportation,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/03088839.2019.1688877

Reference20 articles.

1. A fuzzy failure mode and effects approach to analyse concentrated inspection campaigns on board ships

2. On the effectiveness of port state control inspections

3. Evidence on target factors used for port state control inspections

4. Identifying substandard vessels through Port State Control inspections: A new methodology for Concentrated Inspection Campaigns

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1. Data-driven prediction model for pollution prevention deficiencies on ships;Regional Studies in Marine Science;2024-12

2. Analysis of interaction path among construction owner’s leadership-culture-management behavior (LCB) based on association rule mining;Safety Science;2024-11

3. Fleet sustainability of the liner market—from the perspective of corporate social responsibility;Maritime Policy & Management;2024-04-19

4. Identification of Data Analysis Methods and Focus Trends in Port State Control Inspections: A Comprehensive Literature Review;International Journal of Technology;2024-01-25

5. A data-driven Bayesian model for evaluating the duration of detention of ships in PSC inspections;Transportation Research Part E: Logistics and Transportation Review;2024-01

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