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

by Jyoti Verma, Jaimin N. Undavia
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 2
Year of Publication: 2021
Authors: Jyoti Verma, Jaimin N. Undavia
10.5120/ijca2021921296

Jyoti Verma, Jaimin N. Undavia . Data Mining in Indian Railways: A Survey to Analyze Applications of Data Mining. International Journal of Computer Applications. 183, 2 ( May 2021), 27-30. DOI=10.5120/ijca2021921296

@article{ 10.5120/ijca2021921296,
author = { Jyoti Verma, 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 = {9},
url = { https://ijcaonline.org/archives/volume183/number2/31901-2021921296/ },
doi = { 10.5120/ijca2021921296 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:15:41.955216+05:30
%A Jyoti Verma
%A Jaimin N. Undavia
%T Data Mining in Indian Railways: A Survey to Analyze Applications of Data Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 2
%P 27-30
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

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.

References
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Index Terms

Computer Science
Information Sciences

Keywords

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

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