Data mining approach to analyse the road accidents in India

Ayushi Jain, Garima Ahuja, Anuranjana, D. Mehrotra
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引用次数: 16

Abstract

Despite all that has been done to promote Road Safety in India so far, there are always regions that fall prey to the vulnerabilities that linger on in every corner. The heterogeneity of these vulnerability-inducing causes leads to the need for an effective analysis so as to subdue the alarming figures by a significant amount. The objective of this paper is to have data mining to come to aid to create a model that not only smooths out the heterogeneity of the data by grouping similar objects together to find the accident prone areas in the country with respect to different accident-factors but also helps determine the association between these factors and casualties.
用数据挖掘方法分析印度道路交通事故
尽管到目前为止,印度在促进道路安全方面已经做了很多工作,但总有一些地区成为脆弱性的牺牲品,这些脆弱性在每个角落都存在。这些引起脆弱性的原因各不相同,因此需要进行有效的分析,以便大幅度减少令人震惊的数字。本文的目的是利用数据挖掘来帮助创建一个模型,该模型不仅可以通过将相似的对象分组在一起来平滑数据的异质性,从而找到国内关于不同事故因素的事故易发地区,还可以帮助确定这些因素与伤亡之间的关联。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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