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Polish Information Processing Society
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Annals of Computer Science and Information Systems, Volume 18

Proceedings of the 2019 Federated Conference on Computer Science and Information Systems

Analysis of the Correlation Between Personal Factors and Visiting Locations With Boosting Technique


DOI: http://dx.doi.org/10.15439/2019F319

Citation: Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 18, pages 743746 ()

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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, number of travel, use of SNS, time for SNS per day, life of culture. 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. Personality data was obtained through the Big Five Factors (BFF), data for the rest of the factors were obtained through a self-created questionnaire. Location data was obtained through a Swarm application. For each location categories, the most effective factors were identified in this research.


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