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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
  1. Bharati, M., & Ramageri, B. (2010). Data mining techniques and applications. Indian Journal of Computer Science and Engineering, 1.
  2. Budhkar, A., & Das, S. (2017). Finding trend of advanced ticket booking in Indian railways. Transportation Research Procedia, 25, 4822–4831. https://doi.org/10.1016/j.trpro.2017.05.492
  3. Data Mining: Concepts and Techniques 3rd Edition. (n.d.). DATA MINING, 560.
  4. Gaigowad, A., Deote, P., Badge, P., & Giradkar, R. (2014). Effective Use of Pattern Discovery for Detection of Fraudulent Patterns in Railway Reservation. 1(1), 4.
  5. Ma, M., Liu, J., & Cao, J. (2014). Short-Term Forecasting of Railway Passenger Flow Based on Clustering of Booking Curves. Mathematical Problems in Engineering, 2014, 1–8. https://doi.org/10.1155/2014/707636
  6. Mukhopadhyay, S., Mukherjee, N., Bhattacharjee, J., Ghosh, D., Saha, M., & Choudhury, P. (2010). An Efficient Auction Based TATKAL Scheme for Indian Railway. 2010 International Conference on Innovative Computing and Communication and 2010 Asia-Pacific Conference on Information Technology and Ocean Engineering, 153–157. https://doi.org/10.1109/CICC-ITOE.2010.47
  7. Premsanthi, P., & Sivakami, M. (2016). A STUDY ON TRAIN PASSENGERS SATISFACTION AND PROBLEMS OF TICKET RESERVATION IN ERODE DISTRICT. 1(10), 7.
  8. Satyakrishna, J., Sagar, R. K., & Tech, M. (2018). Train Delay Prediction Systems Using Big Data Analytics. 6(3), 7.
  9. Zhi-Xin Liang, Shuo Wen, & Feng-Wen Yang. (2013). Research on the optimal train ticket overbooking strategy for transportation during the Spring Festival. 11th International Symposium on Operations Research and Its Applications in Engineering, Technology and Management 2013 (ISORA 2013), 177–180. https://doi.org/10.1049/cp.2013.2279
  10. PANG.NI NG TAN , MICHAEL STEINBACH, VI PI N KU MAR. Introduction to data mining
  11. Palak Baid , Apoorva Gupta, Neelam Chaplot. Sentiment Analysis of Movie Reviews using Machine Learning Techniques.
  12. Khan, J. A. (Volume 8, No. 5, May-June 2017). Waiting Ticket Optimization using Reservation Chart Cluster for Indian Railway. International Journal of Advanced Research in Computer Science, 913-916.
  13. Mohd Arshad, M. A. (Vol.-7, Issue-2, Feb 2019 ). Prediction of Train Delay in Indian Railways through Machine Learning. International Journal of Computer Sciences and Engineering, 405-411.
  14. Prof.Ashish Saxena, M. N. (Volume 5, Issue 03, March -2018). Indian Railway System Monitoring Regards Passenger Allocation and Reservation. International Journal of Advance Engineering and Research , 608-611.
  15. Raparthi abhinay, T. y. (Volume 13, Number 12 (2018) pp). Passenger Flow Analysis in Metro Network Using Machine Learning Technique. International Journal of Applied Engineering Research, 10604-10606.
  16. Rasika Ingle, M. K. (Volume 3, Issue 3, March, 2013). An Approach for Effective Use of Pattern Discovery for Detection of Fraudulent Patterns In Railway Reservation Dataset. International Journal Of Computational Engineering Research, 26-29.
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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