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Data Mining in Indian Railways: A Survey to Analyze Applications of Data Mining

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2021
Jyoti Verma, Jaimin N. Undavia

Jyoti Verma and Jaimin N Undavia. Data Mining in Indian Railways: A Survey to Analyze Applications of Data Mining. International Journal of Computer Applications 183(2):27-30, May 2021. BibTeX

	author = {Jyoti Verma and Jaimin N. Undavia},
	title = {Data Mining in Indian Railways: A Survey to Analyze Applications of Data Mining},
	journal = {International Journal of Computer Applications},
	issue_date = {May 2021},
	volume = {183},
	number = {2},
	month = {May},
	year = {2021},
	issn = {0975-8887},
	pages = {27-30},
	numpages = {4},
	url = {},
	doi = {10.5120/ijca2021921296},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


There are many means of transportation in the world but the most affordable and cheap mode of transportation is the railways in any part of the world. People focus on travelling by the trains the most during the vacation period or for any pre-planned meet. Here we have tried to study various papers which are concerned with the study related to railways in various parts of the world but I would like to focus on the Indian railways. Unusual patterns are unveiled in the papers through different predictions. The ticket booking patterns can be studied to find some unusual relation like level of satisfaction is based on the family type & marital status, revenue generated after refund of cancelled tickets, TATKAL booking ticket auction, delay in the train based on previous delay information, fraud detection in the ticket.


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RAC (Reservation against Cancellation), KNN (K-Nearest Neighbor), ARP-Advanced reservation period, clustering, Vickery Clarke Groves (VCG) mechanism, TTE, TATKAL