An Accurate Bitcoin Price Prediction using logistic regression with LSTM Machine Learning model
Volume-3 | Issue-3
Design of Distribution Transformer Health Management System using IoT Sensors
Volume-3 | Issue-3
Energy Management System in the Vehicles using Three Level Neuro Fuzzy Logic
Volume-3 | Issue-3
Cloud Load Estimation with Deep Logarithmic Network for Workload and Time Series Optimization
Volume-3 | Issue-3
Design of a Food Recommendation System using ADNet algorithm on a Hybrid Data Mining Process
Volume-3 | Issue-4
Review on Data Securing Techniques for Internet of Medical Things
Volume-3 | Issue-3
Automatic Diagnosis of Alzheimer’s disease using Hybrid Model and CNN
Volume-3 | Issue-4
Population Based Meta Heuristics Algorithm for Performance Improvement of Feed Forward Neural Network
Volume-2 | Issue-1
Comparative Analysis of an Efficient Image Denoising Method for Wireless Multimedia Sensor Network Images in Transform Domain
Volume-3 | Issue-3
A Comprehensive Review on Power Efficient Fault Tolerance Models in High Performance Computation Systems
Volume-3 | Issue-3
An Integrated Approach for Crop Production Analysis from Geographic Information System Data using SqueezeNet
Volume-3 | Issue-4
An Accurate Bitcoin Price Prediction using logistic regression with LSTM Machine Learning model
Volume-3 | Issue-3
Design of Distribution Transformer Health Management System using IoT Sensors
Volume-3 | Issue-3
Design of a Food Recommendation System using ADNet algorithm on a Hybrid Data Mining Process
Volume-3 | Issue-4
Automatic Diagnosis of Alzheimer’s disease using Hybrid Model and CNN
Volume-3 | Issue-4
Effective Prediction of Online Reviews for Improvement of Customer Recommendation Services by Hybrid Classification Approach
Volume-3 | Issue-4
Acoustic Features Based Emotional Speech Signal Categorization by Advanced Linear Discriminator Analysis
Volume-3 | Issue-4
Analysis of Statistical Trends of Future Air Pollutants for Accurate Prediction
Volume-3 | Issue-4
Identification of Electricity Threat and Performance Analysis using LSTM and RUSBoost Methodology
Volume-3 | Issue-4
Review on Data Securing Techniques for Internet of Medical Things
Volume-3 | Issue-3
Volume - 2 | Issue - 1 | march 2020
Published
02 April, 2020
International Tourism has been a very important contributor to a country's economic development. In developing countries like Argentina, Brazil, India etc., the tourism industry plays an important role in the Gross Domestic Product and Foreign Exchange Earnings. Now a days, India has been welcoming a highly impressive number of foreign tourists from all round the globe annually. This study aims at analysing the distribution and trend of foreign tourists visiting India, among the four quarters of a year, given different configurations of Gross Domestic Product and Foreign Exchange Earnings using Machine Learning and Regression Analysis. A 4 headed Machine Learning Model has been constructed and trained independently for the purpose. Finally, the results of the four individually trained sub models are collected together for Trend Anal ysis and Distribution Analysis. This final evaluation is done for the year 2012 post to Model Construction, Training, Tuning and Individual Validations of the 4 sub models. It has been found that the Distribution and Trend Analysis have been almost similar to the Original Distribution and Trends of Foreign Tourists among the four quarters of 2012. This similarity in Distribution Analysis has been shown using visualizations like Pie Chart and that in Trend Analysis has been shown using Line Plots.
KeywordsInternational Tourism \u2022 Gross Domestic Product \u2022 Foreign Exchange Earnings \u2022 Machine Learning \u2022 Regression Analysis \u2022 Trend Analysis Distribution Analysis
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