This paper aims to determine the predictors of violence against women by their partners, according to the National Survey of Demography and Health-ENDS-Colombia, 2017 using artificial neural networks. The results indicate that the best forecasting model found is the artificial neural network, perceptron model, multilayer associative memory with a hidden layer of 20 units, through functions of sigmoidal activation and sum of square of the error as error function. The ten main explanatory variables are: respect for human rights of the partner, respect for wishes, love expressed by the partner, a history of domestic violence, engaging in joint decision making, decision of contraceptive use, number of connections (partners) of the respondent, decision-making at the financial level, correction of children behavior, and decisions regarding women's health at home.
Public transportation plays an indispensable role in our daily lives, an it also remains as a higher priority for local governments. Within transportation systems, the BRT transport model uses buses on segregated roads, which has been used in different cities across the country. In order to establish structures and associations to suggest statistical models, perform diagnosis and for other purposes of BRT in Latin America, the present research work has been carried out. Once the clusters are formed, an analysis is made about the fuels used in 18 systems in Latin America. Two (2) clusters were formed: Group A with the countries of Argentina,
This paper describes the use of Data Mining Techniques to improve teachinglearning processes in the linear programming course offered at the Engineering Faculty at Mumbai University, India. The proposed approach seeks to model the student's interaction with the study material using prediction rules whose interpretation will allow to detect the weaknesses of the educational process and evaluate the quality of the study material. The proposed rule discovery method is the Evolutionary Algorithms and particularly the Grammar-Based Genetic Programming (GB-GP), which is compared to association rules and decision tree construction for discovering prediction rules.
The analysis of criminal information is critical for the purpose of preventing the occurrence of offenses, so the crime records committed in the past are analyzed including perpetrators. The main objective was to identify crime patterns in the city of Bogota, Colombia, supported using Early Warning System based on data mining (CRISP-DM method). The research results show the identification of 12 different criminal profiles demonstrating that the Early Warning System is applicable since it managed to significantly reduce the time devoted to the processes of registering complaints and searching for criminal profiles.
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