International Journal on Science and Technology
E-ISSN: 2229-7677
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 17 Issue 2
April-June 2026
Indexing Partners
Airline Flight Delay Prediction Using Machine Learning Algoritham
| Author(s) | SRI SHIVANI R, SULOCHANA V |
|---|---|
| Country | India |
| Abstract | Flight delays significantly impact airline operations, leading to financial losses, inefficiencies, and passenger dissatisfaction. Predicting flight delays accurately can help airlines optimize scheduling and improve customer experience. This study explores machine learning algorithms for predicting airline flight delays based on historical data and key influencing factors such as weather conditions, air traffic, departure time, and airport congestion. |
| Field | Computer Applications |
| Published In | Volume 16, Issue 1, January-March 2025 |
| Published On | 2025-03-29 |
| DOI | https://doi.org/10.71097/IJSAT.v16.i1.2685 |
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