UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 9
September-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2209199


Registration ID:
502425

Page Number

b812-b816

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Title

Flight Fare Prediction Using Data Science

Abstract

Air travel is a critical component of achieving economic growth and development. On a national, regional, and international scale, air travel fosters integration into the global economy and provides crucial linkages. It contributes to the growth of trade, tourism, and job possibilities.For the same flight, even for close seats within the same cabin, airline ticket costs can now vary dynamically and significantly. Customers are looking for the best deal, while airlines are attempting to optimise their profit by maintaining a high overall revenue.From a consumer’s standpoint, determining the ideal time to procure plane tickets is difficult, owing to the lack of information necessary to make informed decisions regarding future price changes. The sole motive of this study is to use historical data to find underlying trends in airline pricing in India and to recommend the optimum time to purchase a flight ticket.

Key Words

Air travel is a critical component of achieving economic growth and development. On a national, regional, and international scale, air travel fosters integration into the global economy and provides crucial linkages. It contributes to the growth of trade, tourism, and job possibilities.For the same flight, even for close seats within the same cabin, airline ticket costs can now vary dynamically and significantly. Customers are looking for the best deal, while airlines are attempting to optimise their profit by maintaining a high overall revenue.From a consumer’s standpoint, determining the ideal time to procure plane tickets is difficult, owing to the lack of information necessary to make informed decisions regarding future price changes. The sole motive of this study is to use historical data to find underlying trends in airline pricing in India and to recommend the optimum time to purchase a flight ticket.

Cite This Article

"Flight Fare Prediction Using Data Science", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 9, page no.b812-b816, September-2022, Available :http://www.jetir.org/papers/JETIR2209199.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Flight Fare Prediction Using Data Science", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 9, page no. ppb812-b816, September-2022, Available at : http://www.jetir.org/papers/JETIR2209199.pdf

Publication Details

Published Paper ID: JETIR2209199
Registration ID: 502425
Published In: Volume 9 | Issue 9 | Year September-2022
DOI (Digital Object Identifier):
Page No: b812-b816
Country: Mumbai, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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