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

Authors

  • Krittipat Pitchayadejanant Business Data Analysis, International College, Burapha University, Chonburi 20131, Thailand
  • Parinya Nakpathom Department of Hospitality and Tourism Management, International College, Burapha University, Chonburi 20131, Thailand

Keywords:

agro-tourism activities, association rule, clustering, data mining, market basket analysis

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.

Downloads

Published

01-08-2017

How to Cite

Pitchayadejanant, K., & Nakpathom, P. (2017). Data mining approach for arranging and clustering the agro-tourism activities in orchard. Kasetsart Journal of Social Sciences, 39(3), 407–413. Retrieved from https://so04.tci-thaijo.org/index.php/kjss/article/view/242556

Issue

Vol. 39 No. 3 (2018): September - December

Section

Research articles

License

This is an open access article under the CC BY-NC-ND license http://creativecommons.org/licenses/by-nc-nd/4.0/