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A Model for Forecasting Tourists Arrival in J&K, India

by Sourabh Shastri, Anand Sharma, Vibhakar Mansotra
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 129 - Number 15
Year of Publication: 2015
Authors: Sourabh Shastri, Anand Sharma, Vibhakar Mansotra
10.5120/ijca2015907167

Sourabh Shastri, Anand Sharma, Vibhakar Mansotra . A Model for Forecasting Tourists Arrival in J&K, India. International Journal of Computer Applications. 129, 15 ( November 2015), 32-36. DOI=10.5120/ijca2015907167

@article{ 10.5120/ijca2015907167,
author = { Sourabh Shastri, Anand Sharma, Vibhakar Mansotra },
title = { A Model for Forecasting Tourists Arrival in J&K, India },
journal = { International Journal of Computer Applications },
issue_date = { November 2015 },
volume = { 129 },
number = { 15 },
month = { November },
year = { 2015 },
issn = { 0975-8887 },
pages = { 32-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume129/number15/23152-2015907167/ },
doi = { 10.5120/ijca2015907167 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:23:32.507365+05:30
%A Sourabh Shastri
%A Anand Sharma
%A Vibhakar Mansotra
%T A Model for Forecasting Tourists Arrival in J&K, India
%J International Journal of Computer Applications
%@ 0975-8887
%V 129
%N 15
%P 32-36
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Data Mining is a method for extracting patterns from historical data. In this paper, we forecast the number of tourists in J&K state for the next five years that should totally depend upon the historical time series data of tourists in J&K state. For this, Exponential Smoothing model and IBM SPSS Modeler 16.0 data mining tool are used. Exponential Smoothing is a popular forecasting method that is used to predict the immediate future for time series data. The purpose of this paper is to forecast the number of tourists in advance for the J&K state so that the tourism department shall be prepared in advance to provide essential services to the forthcoming tourists.

References
  1. Jiawei Han, Micheline Kamber and Jian Pei, Data Mining Concepts and Techniques, 3rd ed., Waltham, USA: Elsevier-Morgan Kaufmann, 2014.
  2. The J&K Tourism website. [Online]. Available: http://www.jktourism.org/
  3. How to Prepare J&K SSB (District/Divisional/State Cadre), Vishal International, 2014.
  4. The Incredible India website. [Online]. Available: http://www.incredibleindia.org
  5. (2012) The CENGAGE Learning website. [Online]. Available: http://www.cengage.com/
  6. IBM SPSS Modeler 16 Modeling Nodes, IBM.
  7. B. Uma Devi, D. Sundar and Dr. P. Alli, “An Effective Time Series Analysis for Stock Trend Prediction Using ARIMA Model for Nifty Midcap-50,” International Journal of Data Mining & Knowledge Management Process, vol. 3, no. 1, pp. 65-78, January 2013.
  8. Pardeep Kumar Sahu and Rajesh Kumar, “Demand Forecasting For Sales of Milk Product (Paneer) in Chhatttisgarh,” International Journal of Inventive Engineering and Sciences, vol. 1, no. 9, pp.10-13, August 2013.
  9. Eva Ostertagova and Oskar Ostertag, “The Simple Exponential Smoothing Model,” in Proc. MMaMS, 2011, p.380.
Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Time series data Exponential Smoothing IBM SPSS Modeler

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