DATA MINING FOR SALES PREDICTION IN TOURISM INDUSTRY
|Although there are many forecasting models for determining sales in tourism industry, data mining techniques have been considered the best technique for forecasting sales in tourism industry. Data mining is defined as the process of finding out useful patterns, correlations, and rules, which are not known previously, by filtering through a large amount of data stored in some repositories(database).|
In this system two data sets are considered in prediction of sales in tourism industry.
Here the orders table is scanned to find out how many times a particular package is been preferred by the user. The counting is then done to find out the preferences of the users from the orders table.
After the scores are assigned they are added up to find out the rating.