...
首页> 外文期刊>International Journal of Engineering Trends and Technology >Survey Paper on Analyze and Predict the Nature of Road Traffic Accidents using Data Mining Techniques in Maharashtra, India
【24h】

Survey Paper on Analyze and Predict the Nature of Road Traffic Accidents using Data Mining Techniques in Maharashtra, India

机译:印度马哈拉施特拉邦使用数据挖掘技术分析和预测道路交通事故性质的调查报告

获取原文
   

获取外文期刊封面封底 >>

       

摘要

Traffic accidents are the main cause of death as well as serious injuries in the world. India is among the emerging countries where the rate at which traffic accident occurs is more than the critical limit. Due to this reason difficult to know the nature of road traffic accidents. As a human being, we all want to avoid traffic accidents and stay safe. In order to stay safe, careful analysis of roadway traffic accident data is important to identify the nature of traffic accident that causesfatal and series injuries. Analysis of road traffic accidents is significantto expose the association between the various types of factors thatinfluencethe nature of road traffic accidents. For this purpose, there are a number of classification and association rule mining algorithms available to analyze, detect and predict the road accident historical data and to obtained hidden patterns from huge data. From these, this survey paper discusses the algorithms and data mining tools that areproved better in theprevious studies.
机译:交通事故是世界上主要的死亡和重伤原因。印度是交通事故发生率超过临界限值的新兴国家之一。由于这个原因,很难知道道路交通事故的性质。作为人类,我们所有人都希望避免交通事故并保持安全。为了安全起见,仔细分析道路交通事故数据对于识别导致致命和系列伤害的交通事故的性质非常重要。道路交通事故的分析对于揭示影响道路交通事故性质的各种因素之间的关联具有重要意义。为此,有许多分类和关联规则挖掘算法可用于分析,检测和预测道路事故历史数据,以及从大量数据中获取隐藏模式。基于这些,本文探讨了在先前研究中得到更好证明的算法和数据挖掘工具。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号