Analysis of powered two-wheeler crashes in Italy by classification trees and rules discovery

Accident Analysis and Prevention

Volumn 49, Issue , 2012, Pages 58-72

  Montella, Alfonso ^a   Aria, Massimo ^a   D'Ambrosio, Antonio ^a   Mauriello, Filomena ^a  

^a UNIVERSITY OF NAPLES FEDERICO II   (Italy)

Author keywords

Classification trees; Crash characteristics; Crash severity; Crash types; Data mining; Hypothesis testing; Powered two wheelers; Rules discovery

Indexed keywords

CLASSIFICATION TREES; CRASH CHARACTERISTICS; CRASH SEVERITY; CRASH TYPE; HYPOTHESIS TESTING; POWERED TWO-WHEELERS; RULES DISCOVERY;

CRYSTAL WHISKERS;

DATA MINING;

ADOLESCENT; ADULT; AGED; ALGORITHM; ARTICLE; CHILD; CLASSIFICATION; DATA MINING; DECISION TREE; FEMALE; HUMAN; INFANT; INJURY; ITALY; MALE; METHODOLOGY; MIDDLE AGED; MORTALITY; MOTORCYCLE; NEWBORN; NONPARAMETRIC TEST; PRESCHOOL CHILD; SAFETY; STATISTICAL MODEL; STATISTICS; TRAFFIC ACCIDENT;

ACCIDENTS, TRAFFIC; ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; CHILD; CHILD, PRESCHOOL; CLASSIFICATION; DATA MINING; DECISION TREES; FEMALE; HUMANS; INFANT; INFANT, NEWBORN; ITALY; MALE; MIDDLE AGED; MODELS, STATISTICAL; MOTORCYCLES; SAFETY; STATISTICS, NONPARAMETRIC; WOUNDS AND INJURIES; YOUNG ADULT;

EID: 84867061091     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2011.04.025     Document Type: Article

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