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Viloria Silva, Amelec Jesus (3)
Romero, Ligia (2)Cadavid Basto, Wilmer (1)Castro Sarmiento, Alex (1)de la Hoz Hernández, Juan (1)Garcia Tamayo, Diana Marcela (1)Hernandez Chacin, Ana Emilia (1)Hernandez P, Hugo (1)Hernández P, Hugo (1)Hernández Ureche, Jannys (1)... View MoreSubject
Data mining (3)
Classification (1)Criminal patterns (1)Data ouping (1)Data searching (1)Decision making (1)Early warning (1)Employee details (1)Employee Management System (EMS) (1)Knowledge extraction process (1)... View MoreDate Issued2019 (2)2018 (1)Has File(s)Yes (3)

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Early warning system based on data mining to identify crime patterns 

Viloria Silva, Amelec Jesus; Palacio de la Cruz, Stefany; Hernández Ureche, Jannys; Garcia Tamayo, Diana Marcela; Neira Molina, Harold Roberto; Hernandez P, Hugo; Martinez Ventura, Jairo Luis; Romero, Ligia (Communications in Computer and Information Science, 2019-07-26)
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 ...
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Data mining to identify risk factors associated with university students dropout 

Viloria Silva, Amelec Jesus; Castro Sarmiento, Alex; María Santodomingo, Nicolás; María Santodomingo, Nicolas Elias; Márquez Blanco, Norka; Cadavid Basto, Wilmer; Hernández P, Hugo; Navarro Beltrán, Jorge; de la Hoz Hernández, Juan; Romero, Ligia (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 ...
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Application of classification technique of data mining for employee management system 

J. Kamatkar, Sadhana; Tayade, Amarapali; Viloria Silva, Amelec Jesus; Hernandez Chacin, Ana Emilia (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 ...

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