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Now showing items 11-20 of 29
Dropout-permanence analysis of university students using data mining
(Universidad de la Costa, 2019)
Dropout is a rejection method present in every educational system,
related to the various selection processes, academic performance, and the efficiency of the system in general, that is, the result of the combination and ...
Data mining to identify risk factors associated with university students dropout
(Communications in Computer and Information Science, 2019-07-26)
. This paper presents the identification of university students dropout
patterns by means of data mining techniques. The database consists of a series of
questionnaires and interviews to students from several universities ...
Data mining applied in school dropout prediction
(Journal of Physics: Conference Series, 2020)
In recent years, many studies have emerged about regarding the topic of school failure, showing a growing interest in determining the multiple factors that may influence it [1]. Most of the researches that attempt to solve ...
Method based on data mining techniques for breast cancer recurrence analysis
(Corporación Universidad de la Costa, 2020)
Cancer is a constantly evolving disease, which affects a large number of people worldwide. Great efforts have been made at the research level for the development of tools based on data mining techniques that allow to detect ...
Temporary variables for predicting electricity consumption through data mining
(Journal of Physics: Conference Series, 2020)
In the new global and local scenario, the advent of intelligent distribution networks
or Smart Grids allows real-time collection of data on the operating status of the electricity grid.
Based on this availability of data, ...
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 ...
Dataset for estimation of obesity levels based on eating habits and physical condition in individuals from Colombia, Peru and Mexico
(Data in Brief, 2019-08)
This paper presents data for the estimation of obesity levels in individuals from the countries of Mexico, Peru and Colombia, based on their eating habits and physical condition. The data contains 17 attributes and 2111 ...
Unsupervised learning algorithms applied to grouping problems
(Corporación Universidad de la Costa, 2020)
One of the tasks of great interest within process mining is the discovery of business process models, which consists of using an event log as input and producing a business process model by analyzing the data contained in ...
Application of classification technique of data mining for employee management system
(Lecture Notes in Computer Science, 2018)
This paper presents the application of classification technique of data mining used for the Employee Management System (EMS). This paper discusses the classification techniques of data mining and based on the data, the ...
Predictive model for detecting customer’s purchasing behavior using data mining
(2019)
Profitability is one of the most important marketing objectives in a company, so estimating and detecting in advance what a customer will purchase from a defined product portfolio is an important factor. Considering that ...