Examinando por Materia "Classification"

Mostrando 1 - 4 de 4
  • No hay miniatura disponible
    Publicación
    Análisis situacional para evaluar pérdidas asociadas a la mala clasificación de huevos en la empresa Avicer
    (Universidad EAFIT, 2023) Ramírez Giraldo, Carlos Andrés; Sánchez Di Palma, Ronny Gilberto; Eafit a tú alcance
  • No hay miniatura disponible
    Publicación
    Integración de estimadores robustos y no-paramétricos de dispersión en el clasificador LDA para monitoreo de riesgo crediticio
    (Universidad EAFIT, 2024) Arcia Hernández, Jesús Alberto; Ortiz Arias, Santiago
  • No hay miniatura disponible
    Publicación
    Lecciones aprendidas del proyecto de conservación dinámica La Dorada 2022, en la dirección territorial caldas del Instituto Geográfico Agustín Codazzi
    (Universidad EAFIT, 2023) Noreña Varón, Diana Marcela; Diez Benjumea, Jhon Miguel
    The objective of this graduate work entitled "Lessons learned from the La Dorada 2022 dynamic conservation project in the Caldas Territorial Directorate of the Agustín Codazzi Geographic Institute" was to identify, evaluate and document the lessons learned from this conservation project. The study was based on a methodology that included documentary review, semi-structured interviews, Likert surveys and focus groups. In the introduction, the context of the project was established and the cadastral problems that motivated its implementation were presented. The background at national and departmental level is presented, as well as the inter-administrative contract 701/2022 that supports the project. The conceptual framework covers various aspects related to project management, including information flow, project management, project management process groups and project performance domains. Lessons learned were also addressed, alluding to methodological references and their management. The methodology used involved the collection of information through secondary and primary sources, such as the review of existing documents, surveys and interviews. This information was analyzed and collections of lessons learned were created in Microsoft Excel format. The results obtained are presented in several phases, including the identification of lessons learned, their evaluation and classification, and the creation of a digital repository for their documentation. Finally, conclusions and recommendations derived from the study are presented. Consequently, this degree work provides a methodological guide to identify and document lessons learned in the La Dorada 2022 dynamic conservation project, with the objective of improving the management of future projects at the Instituto Geográfico Agustín Codazzi.
  • No hay miniatura disponible
    Publicación
    Supervivencia de las nuevas empresas : una aproximación desde el Machine Learning
    (Universidad EAFIT, 2021) Román Ramírez, Daniel; Valencia Diaz, Edwin
    Entrepreneurship is starting a search for the generation of value, through the creation or expansion of an economic activity, through the identification and exploitation of new products, processes and markets. The generation of ventures depends on the integrated ecosystem, which includes personal aspects of individuals, market conditions, access to financial resources, public policies through programs and projects that favor business formation. In Colombia, the statistics of recent years show an exponential growth in the creation of new companies, however, more than 50% of them do not reach 5 years of life. The numbers of business failure have not decreased, exposing the weakness of governments on the issue of expanding economic development. To achieve the increase in productivity and the expansion of the base of the economy, it is necessary to understand the challenges that entrepreneurs face for the survival of the company, in addition, thanks to the boom that the use of of Machine Learning techniques and information management, models based on supervised learning and Cox Regression will be applied to understand the important characteristics of the entrepreneur and the business that could affect stability in the market and based on this estimate the probability of survival, in its first years of constitution. The methodology to be applied is based on classification models. Finally, with the results of the survival model, it is expected to be a useful support for entrepreneurs by providing information for making business decisions.