Title: Research on classification algorithm and its application in cased-based reasoning

Authors: Kai Gao; Hua-ping Zhang; Sheng-wang Li; Wei Wang; Jing Qiu

Addresses: School of Information Science & Engineering, Hebei University of Science and Technology, Shijiazhuang city, Hebei Province 050051, China ' School of Information Science & Engineering, Hebei University of Science and Technology, Shijiazhuang city, Hebei Province 050051, China ' School of Information Science & Engineering, Hebei University of Science and Technology, Shijiazhuang city, Hebei Province 050051, China ' School of Information Science & Engineering, Hebei University of Science and Technology, Shijiazhuang city, Hebei Province 050051, China ' School of Information Science & Engineering, Hebei University of Science and Technology, Shijiazhuang city, Hebei Province 050051, China

Abstract: Cased-based reasoning has been used in decision application with less domain knowledge. This paper presents the novel classification algorithm, which is regarded as the basis of the case-based reasoning application on traffic accident analysis and the early warning system. By using the classified centre vector-based classification algorithm, this method can be used to determine the traffic accident cases' affiliation roughly and as a result, to focus on the relevant retrieval scope. This method has been used in the traffic accident analysis and the corresponding early warning system. The experimental result shows the feasibility of the approach.

Keywords: case-based reasoning; CBR; classification algorithms; classified centre vector; traffic accidents; accident analysis; early warning systems; EWS.

DOI: 10.1504/IJCAT.2013.058359

International Journal of Computer Applications in Technology, 2013 Vol.48 No.4, pp.373 - 381

Received: 08 May 2021
Accepted: 12 May 2021

Published online: 18 Dec 2013 *

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