Ayushi Jain, Garima Ahuja, Anuranjana, D. Mehrotra
{"title":"用数据挖掘方法分析印度道路交通事故","authors":"Ayushi Jain, Garima Ahuja, Anuranjana, D. Mehrotra","doi":"10.1109/ICRITO.2016.7784948","DOIUrl":null,"url":null,"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.","PeriodicalId":377611,"journal":{"name":"2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"Data mining approach to analyse the road accidents in India\",\"authors\":\"Ayushi Jain, Garima Ahuja, Anuranjana, D. Mehrotra\",\"doi\":\"10.1109/ICRITO.2016.7784948\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":377611,\"journal\":{\"name\":\"2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)\",\"volume\":\"50 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICRITO.2016.7784948\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRITO.2016.7784948","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data mining approach to analyse the road accidents in India
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.