• Manju Bala
• Anshu Bhasin

Railways are a major network where millions of people travel throughout and act as main source of transportation. A rail accident occurs due specific reasons like crushes of two rails on track, strolling individual, creature, or some other normal deterrents. There are several major data mining techniques which have been developed and used in various data mining projects. In this work, an improved apriori algorithm is proposed in which the pruning step of apriori is optimized. In this railway traffic analysis will be done using improved apriori algorithm. Experimental results demonstrate that proposed technique outperforms existing technique.

Railway accident, Data mining, Apriori algorithm, Association rules, Railway Traffic safety.

"Investigation of Railway Accident Using Optimal Data Mining Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.546-553, July-2018, Available :http://www.jetir.org/papers/JETIR1807432.pdf

"Investigation of Railway Accident Using Optimal Data Mining Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp546-553, July-2018, Available at : http://www.jetir.org/papers/JETIR1807432.pdf