Analysing Road Accident Data Using Association Rule Mining: (Analysing RTA data using ARM)

机译：使用关联规则挖掘分析道路事故数据:(使用ARM）分析RTA数据）

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Road accident is one of the crucial areas of research in India. A variety of research has been done on data collected through police records covering a limited portion of highways. The analysis of such data can only reveal information regarding that portion only; but accidents are scattered not only on highways but also on local roads. A different source of road accident data in India is Emergency Management research Institute (EMRI) which serves and keeps track of every accident record on every type of road and cover information of entire State's road accidents. In this paper, we have used data mining techniques to analyze the data provided by EMRI in which we first cluster the accident data and further association rule mining technique is applied to identify circumstances in which an accident may occur for each cluster. The results can be utilized to put some accident prevention efforts in the areas identified for different categories of accidents to overcome the number of accidents.

机译：道路事故是印度研究的关键领域之一。通过覆盖高速公路有限部分的警察记录收集的数据进行了各种研究。对这些数据的分析只能揭示仅限该部分的信息;但事故不仅分散在高速公路上，也散落在当地道路上。印度的不同道路事故数据来源是应急管理研究所（EMRI），该研究所（EMRI）在各种类型的道路上追踪并跟踪整个州道路事故的信息。在本文中，我们使用了数据挖掘技术来分析EMRI提供的数据，其中我们首先将事故数据和进一步关联规则挖掘技术应用于识别每个群集可能发生事故的情况。结果可用于在针对不同类别的事故中确定的地区进行一些事故预防努力，以克服事故的数量。

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《International Conference on Computing, Communication and Security》|2015年||共6页
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Sachin Kumar; Durga Toshniwal;
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中图分类 TP3-53;
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Data Mining; Road Accidents; Accident Analysis; Association Rule Mining;

机译：数据挖掘;道路事故;事故分析;协会规则挖掘;
入库时间 2022-08-21 08:30:23

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Analysing Road Accident Data Using Association Rule Mining: (Analysing RTA data using ARM)

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