A Decision Tree for Information of Foreign Tourists Traveling to Thailand

被引：0

作者：

Supapakorn, Thidaporn ^{[1
]}

Intarapak, Sukanya ^{[2
]}

Vuthipongse, Witchanee ^{[3
]}

机构：

[1] Kasetsart Univ, Fac Sci, Dept Stat, Bangkok, Thailand

[2] Srinakharinwirot Univ, Fac Sci, Dept Math, Bangkok, Thailand

[3] Minist Tourism & Sports, Dept Tourism, Bangkok, Thailand

来源：

INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER SCIENCE | 2022年 / 17卷 / 01期

关键词：

CHAID; classification; decision tree; prediction;

D O I：

暂无

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

The objective of this research is to find the influencing variables for classification of foreign tourists' information in Thailand. The data of 400 foreign tourists were obtained from the Ministry of Tourism and Sports. By using decision tree analysis, the results show that 1) the length of stay can classify tourists by accurately predicting the expenditure per trip accounting for 76.0 % 2) age can categorize tourists with a correct prediction of travel frequency of 63.7 % 3) age, country of residence and travel arrangement can categorize tourists by accurately predicting gender accounting for 63.2 % 4) the length of stay and travel arrangement can classify tourists with 61.8% accurate predictions of the country of residence.

引用

页码：195 / 206

页数：12

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