Ship detention prediction via feature selection scheme and support vector machine (SVM)
| Year of publication: |
2022
|
|---|---|
| Authors: | Wu, Shubo ; Chen, Xinqiang ; Shi, Chaojian ; Fu, Junjie ; Yan, Ying ; Wang, Shengzheng |
| Published in: |
Maritime policy & management. - London : Taylor & Francis, ISSN 1464-5254, ZDB-ID 2021932-5. - Vol. 49.2022, 1, p. 140-153
|
| Subject: | feature selection | grey relational analysis | PSC inspection | Ship detention prediction | smart ship | support vector machine | Mustererkennung | Pattern recognition | Schifffahrt | Shipping | Prognoseverfahren | Forecasting model | Künstliche Intelligenz | Artificial intelligence |
| Extent: | Illustrationen, Diagramme |
|---|---|
| Type of publication: | Article |
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Notes: | Literaturverzeichnis: Seite 152-153 |
| Other identifiers: | 10.1080/03088839.2021.1875141 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
-
Support vector machine algorithms : an application to ship price forecasting
Syriopoulos, Theodore, (2021)
-
Sivasankar, E., (2019)
-
Classifying businesses by economic activity using web-based text mining
Roelands, Maarten, (2017)
- More ...
-
Transforming accessions data into knowledge
Escaith, Hubert, (2017)
-
Forward-looking information disclosure tone, financing constraints and marketing expenditures
Li, Chenggang, (2024)
-
The impact of Smart city construction on labour spatial allocation : evidence from China
Ai, Hongshan, (2024)
- More ...