A Radical Approach to Forecast the Road Accident Using Data Mining Technique

Authors : Anupama Makkar, Harpreet Singh Gill

Volume/Issue : Volume 2 - 2017, Issue 8 - August

Google Scholar : https://goo.gl/D5Xp87

Scribd : https://goo.gl/92C5dm

Thomson Reuters ResearcherID : https://goo.gl/3bkzwv

Modern Era inventions have resulted in a better life span and a safer and better world. In spite the fact that there is a remarkable development in health status and standard across the globe. One area that still haunts human life the most is the road accidents, resulting in colossal loss of immensely precious human life every year. In this work, we avail data mining techniques to analyze the record of accident dataset in recent years. We proposed hybrid approach by using combinations of machine learning algorithms i.e. Bayes Net, j48 decision tree, j48 graft and analyze their performance in forecasting the road accidents. The experimental results reveal that a hybrid algorithm is more suitable than the single algorithm to predict occurrence of road accidents in future. This research provides an insight to reduce the road accidents to certain extent.

Keywords : Road Accident, Data Mining, Weka.


Paper Submission Last Date
30 - November - 2021

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