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Analysis of the correlation between personal factors and visiting locations with boosting technique

Authors
Song, HayoonH.Y.Yun, JiseonJ.
Issue Date
2019
Publisher
IEEE
Citation
Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019, pp.743 - 746
Journal Title
Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019
Start Page
743
End Page
746
URI
https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/12805
DOI
10.15439/2019F319
ISSN
2325-0348
Abstract
The paper analyzed the relationship between the person's fourteen characteristic factors and place to visit. The personal factors consist of personality, marital Status, final education, majors, religion, monthly income, commuting means and time, frequency of travel, userage of social media, time spent. on social media per day, cultural type. In addition, the analysis was done on which factors have the greatest impact. The analysis involved thirty-four participants and the boosting technique was used as a method of analysis.
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