Application of Data Mining Algorithms for Tourism Industry

Abstract

This paper presents different Data Mining Algorithms to be used to access data patterns in Tourism Industry and their applications using Data Mining Tool like WEKA which is a popular software, and useful patterns can be found efficiently. Data Mining, as the name implies is the science by which hidden and interesting information can be found from large datasets analogous to Gold Miners who extract precious metal sieving through a lot of raw material. Normal day to day business operations create huge voluminous data which is needed to be utilized properly to find information to make efficient, effective, and prompt decisions otherwise businesses can not sustain in competitive environment. There are some techniques and algorithms used in data mining for determining interesting hidden patterns. data mining algorithms are becoming popular day by day in various applications like Travel and Tourism. Nowadays, a number of data mining applications are available for Public use. Therefore, we have to judge which particular algorithm or application suits a problem domain. The idea behind applying data mining is very straight forward, it is similar to a human being becoming intelligent from learning by examples and experience. Similarly, in data mining the behavior of given system (training dataset) is learned by application, and certain rules are developed. Then these rules are used to evaluate the behavior/result for the given situation (test dataset). The overall goal of this paper is to classify some data mining algorithms and applications, draw a comparative study that which one is better for tourism industry and under what circumstances.