Publication Type : Journal Article
Publisher : (2018) International Journal of Engineering and Technology(UAE)
Source : International Journal of Engineering and Technology(UAE), Volume 7, Issue 3, p.40-44 (2018)
Url : https://www.scopus.com/record/display.uri?eid=2-s2.0-85050149556&origin=resultslist
Keywords : Apriori, Naive Bayes, Pattern prediction, Road accident
Campus : Mysuru
School : School of Arts and Sciences
Department : Computer Science
Year : 2018
Abstract : Road Accident is an all-inclusive disaster with consistently raising pattern. In India according to Indian road safety campaign every minute there is a road accident and almost 17 people die per hour in road accidents. There are different categories of vehicle accidents like rear end, head on and rollover accidents. The state recorded police reports or FIR’s are the documents which contains the information about the accidents. The incident may be self-reported by the people or recorded by the state police. In this paper the frequent patterns of road accidents is been predicted using Apriori and Naïve Bayesian techniques. This pattern will help the government or NGOs to improve the safety and take preventive measures in the roads that have major accident zones.
Cite this Research Publication : N. R. and V., K., “Analysis of Road Accidents Using Data Mining Techniques”, International Journal of Engineering and Technology(UAE), vol. 7, no. 3, pp. 40-44, 2018.