Examinando por Materia "SPSS"

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    Medellín seguro : predicción inteligente del número de hurtos a personas con algoritmos basados en series temporales
    (Universidad EAFIT, 2025) Guerra Medina, Cindy Paola; Moreno Reyes, Nicolas Alberto
    Today, we are immersed in the data revolution, an era characterized by the importance of understanding past events to predict the future, and from these, support strategies that facilitate decision-making in advance. In this context, Colombia faces important challenges in terms of security and coexistence, challenges that can be addressed or estimated through data analysis; in Medellín, the open data portal Medata (medata.gov.co), allows access to historical and descriptive statistics on the incidence of crimes against persons such as theft; which is a recurring crime that affects the security, quality of life and economy of citizens. This project proposes the use of time series algorithms implemented in the IBM SPSS Modeler platform, a robust and flexible tool that facilitates the programming of predictive model competition (IBM, 2023, SPSS Modeler. Through its ability to identify patterns, trends and seasonality in historical data, it seeks to estimate the future incidence of theft from persons in the city of Medellín, disaggregating the analysis at the level of communes and neighborhoods. The projections will be made on a monthly basis for the months of October, November and December 2024, which will serve as input for the planning of preventive security strategies that contribute to the prioritization of areas that require greater attention and optimize available resources that minimize the negative impacts of crime and generate a greater sense of tranquility and confidence in citizens.