Data mining approach for arranging and clustering the agro-tourism activities in orchard
| Autor: | Krittipat Pitchayadejanant, Parinya Nakpathom |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Association rule learning
05 social sciences General Social Sciences Affinity analysis 02 engineering and technology computer.software_genre Geography Order (business) 0502 economics and business 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing lcsh:H1-99 Data mining Wine tasting Orchard lcsh:Social sciences (General) Cluster analysis computer human activities 050212 sport leisure & tourism Tourism |
| Zdroj: | Kasetsart Journal of Social Sciences, Vol 39, Iss 3, Pp 407-413 (2018) |
| ISSN: | 2452-3151 |
| Popis: | 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 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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