PREDICTION OF TRAFFIC ACCIDENT SEVERITY USING DATA MINING TECHNIQUES IN IBB PROVINCE, YEMEN

PREDICTION OF TRAFFIC ACCIDENT SEVERITY USING DATA MINING TECHNIQUES IN IBB PROVINCE, YEMEN

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Traffic accidents are the leading causes beyond death; it is the concern of most countries that strive for finding radical solutions to this problem. There are several methods used in the process of forecasting traffic accidents such as classification, assembly, association, etc. This paper surveyed...

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Bibliographic Details
Main Authors: Muneer A.S. Hazaa, Redhwan M.A. Saad, Mohammed A. Alnaklani
Format: Article
Language:English
Published: UMP Publisher 2019-02-01
Series:International Journal of Software Engineering and Computer Systems
Subjects:
traffic accidents
neural network
decision tree
back-propagation algorithm
Online Access:https://journal.ump.edu.my/ijsecs/article/view/2724

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