International Journal of Computer Science and Informatics
Article Title
Abstract
The Indian railway network has a high traffic density with Vijayawada as its gravity center. The star-shape of the network implies heavily loaded bifurcations in which knock-on delays are likely to occur. Knock-on delays should be minimized to improve the total punctuality in the network. Based on experience, the most critical junctions in the traffic flow are known, but others might be hidden. To reveal the hidden patterns of trains passing delays to each other, we study, adapt and apply the state-of-the-art techniques for mining frequent episodes to this specific problem.
Recommended Citation
Babu, D. Kishore; Satish, Y Naga; and Kumar, G. L. N. V. S.
(2013)
"Frequent Itemsets Used in Mining of Train Delays,"
International Journal of Computer Science and Informatics: Vol. 2
:
Iss.
4
, Article 2.
Available at:
https://www.interscience.in/ijcsi/vol2/iss4/2
Included in
Computer Engineering Commons, Information Security Commons, Systems and Communications Commons
