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Mostrando ítems 11-18 de 18
Model for predicting academic performance in virtual courses through supervised learning
(Corporación Universidad de la Costa, 2021)
Since virtual courses are asynchronous and non-presential environments, the following of student tasks can be a hard work. Virtual Education and Learning Environments (VELE) often provide tools for this purpose (Zaharia ...
Identification of author profiles through social networks
(Corporación Universidad de la Costa, 2021)
The aim of this paper is to compile dictionaries of slang words, abbreviations, contractions, and emoticons to help the pre-processing of texts published in social networks. The use of these dictionaries is intended to ...
An early warning method for agricultural products price spike based on artificial neural networks prediction
(Universidad de la Costa, 2020)
In general, the agricultural producing sector is affected by the diversity in supply, mostly from small companies, in addition to the rigidity of the demand, the territorial dispersion, the seasonality or the generation ...
Integration of Data Mining Classification Techniques and Ensemble Learning for Predicting the Type of Breast Cancer Recurrence
(International Conference on Green, Pervasive, and Cloud Computing, 2019-04-27)
Conservative surgery plus radiotherapy is an alternative to radical mastectomy in the early stages of breast cancer, presenting equivalent survival rates. Data mining facilitates to manage the data and provide the useful ...
Multiple linear regression analysis of factors affecting the consumption
(Universidad de la Costa, 2019)
Econometrics provides the researchers with methods, theoretical basements, and procedures that allow the formulation and estimation of economic models that explain the study variable during a reference time period, as well ...
Influence of knowledge management between the bank and the local socioeconomic development: correlational analysis
(Universidad de la Costa, 2019)
Knowledge management in the bank applied to the requirements of the Local Socioeconomic development (LSED) is a topic without concrete results about the implemented strategies. Given the situation, this study seeks to ...
Classification, identification, and analysis of events on twitter through data mining
(Corporación Universidad de la Costa, 2021)
Due to its popularity, Twitter is currently one of the major players in the global network, which has established a new form of communication: the microblogging. Twitter has become an essential media network for the ...
Analysis of air quality data in the city of Bogotá through clustering techniques
(Corporación Universidad de la Costa, 2020)
Climate change is one of the problems facing society today because of its impacts on the health of living beings. That is why the authorities need tools that provide them with the information necessary to make decisions ...