1. A study on data mining algorithms for tourism industry
Authors : Girish Kumar Sharma, Promila Sharma
Pages : 580-587
DOI : http://dx.doi.org/10.21172/1.71.084
Keywords : Travel & Tourism Industry , Data mining, Decision trees, Association Rules, Classification , Clustering. Abstract :This paper presents different Data Mining Algorithms to be used to access data patterns in Tourism Industry. Data Mining , as the name implies is about mining data , to sieve through a lot of data to find useful information. Data Mining comprises techniques and algorithms for determining interesting patterns. Data Mining algorithms are becoming popular day by day in various applications like Travel & Tourism. The idea behind the data mining is very straight it is same like a human being become intelligent from examples and experience. In data mining; rules are developed by taking the behaviour of given system (data set). Then these rules are used to evaluate the behaviour / outcome for the given circumstances. The overall objective of this paper is to classify some well-known data mining algorithms.
Citing this Journal Article :Girish Kumar Sharma, Promila Sharma, "A study on data mining algorithms for tourism industry", Volume 7 Issue 1 - May 2016, 580-587
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