Trends and characteristics of travelers visiting the city of Pereira through data mining techniques.


Authors

  • Diego Fernando Salcedo Toro Universidad Autonoma Manizales

DOI:

https://doi.org/10.22517/23447214.13251

Keywords:

—Knowledge Discovery, Unsupervised learning, Computer aided analysis, Knowledge management, Data analysis.

Abstract

This work was carried out on travelers Pereira city until 2014. With the collected data segmentation and description of travel behavior performing cluster analysis was performed subsequently classified according to trends and characteristics applying association rules and eventually were grouped by the level of expenditure, perception and satisfaction after visiting the city through cluster analysis. In the results they yielded 5 clusters from which one it was realized the analysis.

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Author Biography

Diego Fernando Salcedo Toro, Universidad Autonoma Manizales

Ingeniero de Sistemas

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Published

2017-12-30

How to Cite

Salcedo Toro, D. F. (2017). Trends and characteristics of travelers visiting the city of Pereira through data mining techniques. Scientia Et Technica, 22(4), 381–390. https://doi.org/10.22517/23447214.13251

Issue

Vol. 22 No. 4 (2017)

Section

Sistemas y Computación

License

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