Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)

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Sky Sage: Revolutionizing Airfare Prediction with Advanced Machine Learning Integration

Authors
S. Mohan Krishna1, *, Ashok Koujalagi1, B. Kedareswari2, K. Sandya Reddy2, M. D. Mahaboob Sharif2, M. Chandra Raghava Reddy2
1Professor, Dept. of CSE, Godavari Institute of Engineering and Technology (A), Rajahmundry, A.P, India
2UG Student, Dept. of CSE, Godavari Institute of Engineering and Technology (A), Rajahmundry, A.P, India
*Corresponding author. Email: mohan@giet.ac.in
Corresponding Author
S. Mohan Krishna
Available Online 30 July 2024.
DOI
10.2991/978-94-6463-471-6_121How to use a DOI?
Keywords
Aviation Industry; Validation Strategies; Machine Learning; Predictive Model; And Flight Cost Prediction
Abstract

When choosing a mode of transportation, people today prioritize comfort above all else, favoring air travel above buses and trains. This paper's predictive skills help to provide anticipatory information to match the changing needs of passengers. This study looks into flight cost prediction by identifying designs in the assessment systems of multiple airline companies utilizing automated reasoning techniques. The suggested technique is used on 136,917 Lufthansa, Turkish, Aegean, and Austrian information flights. Carriers are employed to extract many advantageous features for six primary general complaints. To provide precise expected results, this system makes use of machine learning technology by integrating the decision tree regression model, boosting, and bagging algorithms.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
Series
Advances in Computer Science Research
Publication Date
30 July 2024
ISBN
10.2991/978-94-6463-471-6_121
ISSN
2352-538X
DOI
10.2991/978-94-6463-471-6_121How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - S. Mohan Krishna
AU  - Ashok Koujalagi
AU  - B. Kedareswari
AU  - K. Sandya Reddy
AU  - M. D. Mahaboob Sharif
AU  - M. Chandra Raghava Reddy
PY  - 2024
DA  - 2024/07/30
TI  - Sky Sage: Revolutionizing Airfare Prediction with Advanced Machine Learning Integration
BT  - Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
PB  - Atlantis Press
SP  - 1259
EP  - 1271
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-471-6_121
DO  - 10.2991/978-94-6463-471-6_121
ID  - Krishna2024
ER  -