INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Airfare is suffering from many factors inclusive of distance of flight, time of buy, fee of fuel, etc. Each provider has its personal guidelines and algorithms to set the price consequently. Recent advances in artificial intelligence (AI) and system mastering (ML) make it feasible to simulate such policies and rate adjustments. This paper proposes a new software of two sources of public air shipping data: the Airline Origin and Destination Survey (DB1B) and the Air Carrier Statistics Database (T-a hundred)
Keywords:
The proposed machine can be able to help save the shoppers a huge quantity of Rs by using proving that they know the way to ebook tickets at the proper time. Artificial intelligence (AI) and Machine Learning (ML), prediction model; airfare price; pricing models.
Cite Article:
"Air line fare production by using random forest algorithm", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.1217 - 1221, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304196.pdf
Downloads:
000336257
Publication Details:
Published Paper ID: IJSDR2304196
Registration ID:205056
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 1217 - 1221
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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