Revolutionizing Airline Customer Satisfaction Analysis with Machine Learning Techniques

Ashraf Osman Ibrahim; Chiew Cheng Yi; Abubakar Elsafi; Fuad A. Ghaleb

doi:10.1007/978-3-031-59707-7_13

Revolutionizing Airline Customer Satisfaction Analysis with Machine Learning Techniques

Ashraf Osman Ibrahim^*
, Chiew Cheng Yi
, Abubakar Elsafi
, Fuad A. Ghaleb

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Original language	English
Title of host publication	Lecture Notes on Data Engineering and Communications Technologies
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	141-152
Number of pages	12
DOIs	https://doi.org/10.1007/978-3-031-59707-7_13
Publication status	Published (VoR) - 2024

Publication series

Name	Lecture Notes on Data Engineering and Communications Technologies
Volume	211
ISSN (Print)	2367-4512
ISSN (Electronic)	2367-4520

Keywords

airline industries
customer satisfaction
Machine learning

Access to Document

10.1007/978-3-031-59707-7_13

Cite this

Ibrahim, A. O., Yi, C. C., Elsafi, A., & Ghaleb, F. A. (2024). Revolutionizing Airline Customer Satisfaction Analysis with Machine Learning Techniques. In Lecture Notes on Data Engineering and Communications Technologies (pp. 141-152). (Lecture Notes on Data Engineering and Communications Technologies; Vol. 211). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-59707-7_13

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title = "Revolutionizing Airline Customer Satisfaction Analysis with Machine Learning Techniques",

keywords = "airline industries, customer satisfaction, Machine learning",

author = "Ibrahim, \{Ashraf Osman\} and Yi, \{Chiew Cheng\} and Abubakar Elsafi and Ghaleb, \{Fuad A.\}",

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Ibrahim, AO, Yi, CC, Elsafi, A & Ghaleb, FA 2024, Revolutionizing Airline Customer Satisfaction Analysis with Machine Learning Techniques. in Lecture Notes on Data Engineering and Communications Technologies. Lecture Notes on Data Engineering and Communications Technologies, vol. 211, Springer Science and Business Media Deutschland GmbH, pp. 141-152. https://doi.org/10.1007/978-3-031-59707-7_13

Revolutionizing Airline Customer Satisfaction Analysis with Machine Learning Techniques. / Ibrahim, Ashraf Osman; Yi, Chiew Cheng; Elsafi, Abubakar et al.
Lecture Notes on Data Engineering and Communications Technologies. Springer Science and Business Media Deutschland GmbH, 2024. p. 141-152 (Lecture Notes on Data Engineering and Communications Technologies; Vol. 211).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Revolutionizing Airline Customer Satisfaction Analysis with Machine Learning Techniques

AU - Ibrahim, Ashraf Osman

AU - Yi, Chiew Cheng

AU - Elsafi, Abubakar

AU - Ghaleb, Fuad A.

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

PY - 2024

Y1 - 2024

KW - airline industries

KW - customer satisfaction

KW - Machine learning

UR - https://www.scopus.com/pages/publications/85194517698

UR - https://www.scopus.com/pages/publications/85194517698#tab=citedBy

U2 - 10.1007/978-3-031-59707-7_13

DO - 10.1007/978-3-031-59707-7_13

M3 - Chapter

AN - SCOPUS:85194517698

T3 - Lecture Notes on Data Engineering and Communications Technologies

SP - 141

EP - 152

BT - Lecture Notes on Data Engineering and Communications Technologies

PB - Springer Science and Business Media Deutschland GmbH

ER -

Ibrahim AO, Yi CC, Elsafi A, Ghaleb FA. Revolutionizing Airline Customer Satisfaction Analysis with Machine Learning Techniques. In Lecture Notes on Data Engineering and Communications Technologies. Springer Science and Business Media Deutschland GmbH. 2024. p. 141-152. (Lecture Notes on Data Engineering and Communications Technologies). doi: 10.1007/978-3-031-59707-7_13

Revolutionizing Airline Customer Satisfaction Analysis with Machine Learning Techniques

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