Data mining approach for arranging and clustering the agro-tourism activities in orchard

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ID: 52266
2018
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Abstract
The paper attains to finding the association among interested activities in orchard that stimulate the tourists to travel. The knowledge obtained in this study is applying data mining techniques to create the association rule in order to find out the pattern of activities for orchard tourism. The evoked set of activities is the most frequent set which travelers would like to do when they visit orchard. The tool of analyzing the association rules is Rapid Miner 7.3. The result shows that the highest recommended activity is reaping and tasting the fruit. Another activities, which also are recommended to be arranged more into orchard, consist of walking, shopping, and feeding animal in the orchard. Keywords: agro-tourism activities, association rule, clustering, data mining, market basket analysis
Reference Key
pitchayadejanant2018datakasetsart Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Pitchayadejanant, Krittipat;Nakpathom, Parinya;
Journal kasetsart journal of social sciences
Year 2018
DOI
DOI not found
URL
http://www.sciencedirect.com/science/article/pii/S2452315117300619
Keywords
geography (general) social sciences (general) management. industrial management geography. anthropology. recreation management of special enterprises

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