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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 ...
Classification and features selection method for obesity level prediction
(2021-06-15)
Obesity has become one of the world’s largest health issues, rich and poor countries, without exception, have
each year larger populations with this condition. Obesity and overweight are defined as abnormal or excessive
fat ...
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 ...
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, ...
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 ...
Selecting electrical billing attributes: big data preprocessing improvements
(Corporación Universidad de la Costa, 2020)
The attribute selection is a very relevant activity of data preprocessing when discovering knowledge on databases. Its main objective is to eliminate irrelevant and/or redundant attributes to obtain computationally treatable ...
Human activity recognition through wireless body sensor networks (WBSN) applying data mining techniques
(Springer Verlag, 2021-11-26)
The research field on technologies and wireless sensor networks (WSN) are becoming one of the most disruptive technologies that support different scenarios of ubiquitous and generalized computing. WSN applied to the human ...
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 ...
Análisis del nivel de competitividad en clústers. Caso iniciativa turismo de naturaleza en Atlántico, Colombia
(Revista Ibérica de Sistemas e Tecnologias de Informação, 2019-10-19)
This paper presents the application of a competitiveness measurement
methodology for the nature tourism initiative in Atlántico, Colombia. Results
indicate that cluster initiative is in a early undeveloped stage, based ...