Tendencias y características de los viajeros que visitan la ciudad de Bucaramanga. Una solución de inteligencia de negocios basada en minería de datos

Abstract

The tourism sector is one of the largest and most important in the world, generating approximately 212 million jobs, thus contributing to the GDP of many countries. The city of Bucaramanga does not currently have an observatory of tourism or studies on travelers, compared to other important cities where these observatories take into account tourism actors such as providers of hotel services, restaurants, commerce, culture, etc. The entities in charge of the Tourism of Bucaramanga do not have this analysis of the variables since there is no information collected about this. For this reason, a city analysis was carried out to determine statistical data such as: Origin of visitors, reason for travel, services used, place of feeding, type of transportation used, level of satisfaction in the city, cost of the city, between other variables. With the data collected, a segmentation and description of habits of the travelers was carried out by means of a cluster analysis, later they were classified according to the tendencies and characteristics applying rules of association, and finally they were grouped by the level of expenses, perception and satisfaction later to visit the city by means of a cluster analysis. This knowledge extraction process was developed using the CRISP-DM methodology and was implemented on the free use of the SPSS and WEKA application, and includes the collection of information and extraction of this information with the help of the database designed for this purpose , Its transformation, validation, cluster calculation and association rules.