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Indicators for smart cities: tax illicit analysis through data mining
(Corporación Universidad de la Costa, 2021)
The anomalies in the data coexist in the databases and in the non-traditional data that can be accessed and produced by a tax administration, whether these data are of internal or external origin. The analysis of certain ...
Design and implementation of a system to determine property tax through the processing and analysis of satellite images
(Corporación Universidad de la Costa, 2020)
One of the main objectives when implementing metaheuristics in engineering problems, is to solve complex situations and look for feasible solutions within a defined interval by the design dimensions. With the support of ...
Prediction of academic dropout in university students using data mining: Engineering case
(Corporación Universidad de la Costa, 2020)
Student dropout is considered an important indicator for measuring social mobility and reflecting the social contribution that universities offer. In economic terms, there is evidence that students attribute their decision ...
Algorithms for crime prediction in smart cities through data mining
(Corporación Universidad de la Costa, 2020)
The concentration of police resources in conflict zones contributes to the reduction of crime in the region and the optimization of those resources. This paper presents the use of regression techniques to predict the number ...
Classification of academic events from their textual description
(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 preprocessing of texts published in social networks. The use of these dictionaries is intended to improve ...
CTR prediction for optimizing the negotiation of internet advertising campaigns
(Corporación Universidad de la Costa, 2020)
Web advertising campaigns have the particularity that allow to measure the performance of campaigns based on different metrics, among which are the cost per thousand impressions (CPM-Cost Per mille), cost per click (CPC) ...
Convolutional neural network with multi-column characteristics extraction for image classification
(Corporación Universidad de la Costa, 2020)
In the last few decades, the constant growth of digital images, as the main source of information representation for scientific applications, has made image classification a challenging task. To achieve high classification ...
CTR prediction of internet ads using artificial organic networks
(Corporación Universidad de la Costa, 2020)
For advertising networks to increase their revenues, priority must be given to the most profitable ads. The most important factor in the profitability of an ad is the click-through-rate (CTR) which is the probability that ...
Coupling architecture between INS/GPS for precise navigation on set paths
(Corporación Universidad de la Costa, 2020)
GPS offers the advantage of providing high long-term position accuracy with residual errors that affect the final positioning solution to a few meters with a sampling frequency of 1 Hz (Marston et al. in Decis Support Syst ...
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 ...