Analysis of the correlation between personal factors and visiting locations with boosting technique
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Song, Hayoon | - |
dc.contributor.author | H.Y. | - |
dc.contributor.author | Yun, Jiseon | - |
dc.contributor.author | J. | - |
dc.date.available | 2021-03-17T08:01:11Z | - |
dc.date.created | 2021-02-26 | - |
dc.date.issued | 2019 | - |
dc.identifier.issn | 2325-0348 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/12805 | - |
dc.description.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. | - |
dc.publisher | IEEE | - |
dc.title | Analysis of the correlation between personal factors and visiting locations with boosting technique | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Song, Hayoon | - |
dc.identifier.doi | 10.15439/2019F319 | - |
dc.identifier.scopusid | 2-s2.0-85074166891 | - |
dc.identifier.wosid | 000591782800104 | - |
dc.identifier.bibliographicCitation | Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019, pp.743 - 746 | - |
dc.relation.isPartOf | Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019 | - |
dc.citation.title | Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019 | - |
dc.citation.startPage | 743 | - |
dc.citation.endPage | 746 | - |
dc.type.rims | ART | - |
dc.type.docType | Proceedings Paper | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
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