Flight Delays Prediction using Supervised Learning Algorithm
Published: 2022
Author(s) Name: M. Sharmila and Sudha Rajesh |
Author(s) Affiliation: Dept. of Comp. Application, B. S. Abdur Rahman Crescent Inst. of Scie. and Tech., Vandalur, Chennai
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Abstract
The ceaseless development in the interest for air transportation surpasses the limit of existing foundation, generally prompting questionable flight plans, long flight delays and uncertainties in landing/takeoff and taxi times. In light of the multi-target streamlining, a heuristic calculation thinking about vulnerabilities in flight landing/takeoff time is intended to accomplish an improvement in airplane terminal throughput and a decrease in flight delay. We are analyzing the forecasts, timings to make these delays reduce by small amount. With our future proposal, we can make the datasets real-time and reduces flight delay by huge hunk of time. The supervised machine learning algorithm helps us to find the prediction with more accuracy.
Keywords: Flight delays prediction, Hadoop, Takeoff time.
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