AN APACHE SPARK METHODOLOGY INTEGRATED WITH SVM CLASSIFICATION FOR COMPARING THE TREND AND FORECASTING TOURISM DEMAND IN INDIA
T. Kalaichelvi
, J. Mamatha2 , S. Dharshni , Suvadra Kundu4 , Pavithra Asokan5
Tourism, SVM, Machine learning, Apache Spark
In countries like India, where tourism accounts for a significant portion of the economy, it plays a crucial role in all economies. In today's world, partners in tourism need to be able to identify a few tourism indicators in order to make the best decisions. Time-series and econometric estimating models are the usual ones used in tourism. The paper proposes a method for estimating tourism demand that takes into account the importance of informative factors by employing an Apache Start-based information mining technique. A comparison of the trend in tourism in recent years and after widespread is examined using SVM and SVC. The proposed approach depends on Apache Start, major areas of strength for an engine, along the edge a directions AI library for predicting the travel industry demand in India. The forecasted (target) variable is the number of visitors to India between the years 2016 and 2019, as well as between 2021 and the present. The dataset was compiled from freely accessible sources.
"AN APACHE SPARK METHODOLOGY INTEGRATED WITH SVM CLASSIFICATION FOR COMPARING THE TREND AND FORECASTING TOURISM DEMAND IN INDIA", TIJER - TIJER - INTERNATIONAL RESEARCH JOURNAL (www.TIJER.org), ISSN:2349-9249, Vol.11, Issue 2, page no.168-172, February-2024, Available :https://tijer.org/TIJER/papers/TIJERB001026.pdf
Volume 11
Issue 2,
February-2024
Pages : 168-172
Paper Reg. ID: TIJER_151007
Published Paper Id: TIJERB001026
Downloads: 000296
Research Area: Science and Technology
Country: TIRUVALLUR, TAMILNADU, India
ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER (IJ Publication) Janvi Wave
