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Analysis of relationship between personal factors and visiting places using random forest technique

Authors
Kim, Young-myungY.M.Song, HayoonH.Y.
Issue Date
2019
Publisher
IEEE
Citation
Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019, pp.725 - 732
Journal Title
Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019
Start Page
725
End Page
732
URI
https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/12804
DOI
10.15439/2019F318
ISSN
2325-0348
Abstract
There has been research regarding relationship between human personalities and visiting places using Big Five Factor (BFF). However, other factors such as Social media usage, Hobby, Gender, Age, and Religion and so on are regarded as also major factors which effects the choice of visiting place of a person. Using questionnaire designed by authors, these factors as well as BFF were prepared for this research. The visiting places were collected by a smartphonc app called SWARM and classified in 10 categories. In sum, personal data of 34 participants had been collected for several months. To figure out the relationship between these factors and visiting places, random forest technique of ensemble method was used.
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