• Bushra D. Qureshi
• S.S.Dhande

Data Mining is a technique which deals with huge and complex data sets which has led to globalization that has affected many countries. There has been an excessive increase in the economic activities and consumption level, leading to increase of travel and transportation. Road traffic accidents are among the foremost cause of death and injury worldwide. In order to give safe driving suggestions, careful analysis of roadway traffic data is necessary to find out parameters that are closely related to fatal accidents. So, there is need of system which provide better solution for such problems. In this paper we apply statistics analysis and data mining algorithms on the Fatal Accident dataset as an attempt to address this problem. The relationship between mortal rate and other attributes including monthly analysis, age , victim condition , road surface condition, light and weather condition, and on the basis of gender were investigated. Association rules were discovered by Apriori algorithm, classification model was built by Naïve Bayes classifier, and clusters were formed by simple K-means clustering algorithm.

Data mining, Association rule, Clustering, K-means algorithm, Classification rule, Naïve Bayes algorithm.

" Design And Implement of Road Accident Analysis For Indian States Using Association Mining.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.442-449, May-2019, Available :http://www.jetir.org/papers/JETIR1905K57.pdf

" Design And Implement of Road Accident Analysis For Indian States Using Association Mining.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp442-449, May-2019, Available at : http://www.jetir.org/papers/JETIR1905K57.pdf