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Bimonthly Since 1986 |
ISSN 1004-9037
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Publication Details |
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
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Abstract
Anyone who regularly travels through the airway wants to foresee the right time they buy a ticket to obtain the economic deal. Aircraft companies keep changing ticket costs for better outcomes of income. Aircraft companies may increment flight costs when the demand is expected to extend for generating more revenue. To minimize cost, information analysis for a particular air route has been collected including the characteristics like take-off time, entry time, and airways over a specific period. Qualities are organized from the collected information to apply the Machine Learning models. The below paper provides the machine learning method to obtain the costs according to the characteristics.
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