LDR | | | 00000cab a2200000 4500 |
001 | | | MAP20230005644 |
003 | | | MAP |
005 | | | 20231214133806.0 |
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040 | | | $aMAP$bspa$dMAP |
084 | | | $a214 |
245 | 1 | 0 | $aClassification of climate-related insurance claims using gradient boosting$b= Clasificación de siniestros de seguros relacionados con el clima mediante el uso de Gradient Boosting$cGeorge Tzougas...[et al.] |
520 | | | $aThe aim of this paper is to implement, one of the most representative supervised learning approaches, the decision tree based ensemble method called gradient boosting for classifying the number of claims caused by storms in Greece using data from a major insurance company operating in Greece. Finally, a machine learning algorithm is used to for categorising the number of claims which have been occurred by a storm event into 3 categories: no claims, 1 claim, 2 or more claims |
650 | | 4 | $0MAPA20080601799$aGestión de siniestros |
650 | | 4 | $0MAPA20080613327$aClasificación de riesgos |
650 | | 4 | $0MAPA20080630010$aCondiciones climáticas ambientales |
650 | | 4 | $0MAPA20080589097$aÁrboles de decisión |
650 | | 4 | $0MAPA20080552800$aTormentas |
650 | | 4 | $0MAPA20080608392$aRiesgos meteorológicos |
650 | | 4 | $0MAPA20080572396$aIndemnizaciones |
651 | | 1 | $0MAPA20080637750$aGrecia |
700 | 1 | | $0MAPA20140009800$aTzougas, George |
710 | 2 | | $0MAPA20080454739$aInstituto de Actuarios Españoles |
773 | 0 | | $wMAP20070000012$g29/12/2022 Número 28 - Epoca 4ª, Año 2022 , 149-168$tAnales del Instituto de Actuarios Españoles : Colegio Profesional$dMadrid : Instituto de Actuarios Españoles, 1943- |
856 | | | $qapplication/pdf$w1119338$yAcceso al documento / Access the document |
856 | 0 | 0 | $yMÁS INFORMACIÓN$u
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