Apriori algorithm for re-categorization of railway stations

In view of Ministry of Railways decision to re-classify railway stations by considering passenger footfall, account earnings and giving priority to different passenger amenities and passenger services at stations in an effective, focused and precised way. It will assist the passengers to have a best practice in accordance with transport facilities at stations. In older approach stations were categorized depending on the earnings of passengers annually. Railway stations were classified into 7 classes like A1, A, B, C, D, E and F. The categorization approach for stations was restructured to add footfalls at the stations. The railway stations were further divided depending on the category and combined into 3 classes like suburban(S), non suburban (NS) and Halt (H). Further these classes were grouped in subclasses like NSG1-6, HG1-3 and SG1-3 accordingly. In the earlier approach railway stations with footfalls count of passengers (large commuter number of pass holders and MST handlers etc.) which was high were not added into the higher category stations so that these stations which were eligible for higherlevel amenities maintains low level amenities. Considering the new approach the footfalls number was included and given equal priority and considered stations categorization. In this article we explore an efficient apriori algorithm for classification of stations as per the new categorization rules into three categories.