A Model for Forecasting Tourists Arrival in JandK, India
Sourabh Shastri, Anand Kumar Sharma, Vibhakar Mansotra · International Journal of Computer Applications · 2015
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.