2022
DOI: 10.1016/j.oceaneng.2022.110705
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A hybrid model for marine accident analysis based on Bayesian Network (BN) and Association Rule Mining (ARM)

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Cited by 38 publications
(8 citation statements)
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References 77 publications
(94 reference statements)
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“…The BN classifier is a probabilistic classifier based on Bayes' theorem that assumes that each feature depends only on the class. It assumes that each feature is independent and does not interact with each other [ [41] , [42] , [43] ].…”
Section: Methodology For Identifying the Types Of Defects Of Bldc Motorsmentioning
confidence: 99%
“…The BN classifier is a probabilistic classifier based on Bayes' theorem that assumes that each feature depends only on the class. It assumes that each feature is independent and does not interact with each other [ [41] , [42] , [43] ].…”
Section: Methodology For Identifying the Types Of Defects Of Bldc Motorsmentioning
confidence: 99%
“…Jiang et al [35] used the K2 algorithm and expectation-maximization to learn the network structure and conditional probability table (CPT) of BN from accident data, respectively. Özaydın et al [36] built a BN structure according to expert advice, and learnt the CPT of BN nodes from accident data, then used a predictive Apriori algorithm to determine the minimum requirements required for the occurrence of occupational accidents. In order to reduce the uncertainty caused by expert judgment when the accident data is insufficient, Li et al [37] used a binary logistic regression method to obtain the prior probability (PP) input of BN nodes using various data resources.…”
Section: Maritime Risk Analysis Using Bn and Dbnmentioning
confidence: 99%
“…El clúster verde, otro de los más impactantes en la literatura es representado por Wang J. y Yang Z. tiene en cuenta la seguridad marítima, análisis y evaluación de los riesgos dentro de sus temas, así la mejora continua del desempeño y logística de bajo carbono [94]- [100]. El nodo representativo del clúster azul es interpretado por Li K.X.…”
Section: Periodo De Análisis: 2015 a 2019unclassified
“…El último periodo de estudio o post pandemia, fue caracterizado por los cambios en todos los aspectos sociales y productivos de la sociedad, donde los puertos inteligentes, la eficiencia energética, Blockchain, responsabilidad social, energía renovable, innovación y acuicultura como sinónimo remplazante de la gestión pesquera, perteneciendo estas palabras claves de impacto en este periodo de transformación, al tanto de los autores estuvieron Lam J.S.L [50], [85]- [89], Voss S. [90]- [93], Wang J. [94]- [96].…”
Section: Conclusiónunclassified