Now showing items 1-20 of 30

    • Algorithms for crime prediction in smart cities through data mining 

      Silva, Jesús; Romero Marin, Ligia Cielo; Jiménez González, Roberto; Larios, Omar; Barrantes, Fanny; Pineda, Omar; Manotas, Alberto (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 ...
    • Análisis del nivel de competitividad en clústers. Caso iniciativa turismo de naturaleza en Atlántico, Colombia 

      Puello-Pereira, Nataly; Ovallos-Gazabon, David; Hugueth, Alfredo; Díaz Solano, Beatriz Helena; silva d, jesus g (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 ...
    • 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 ...
    • Association rule mining for customer segmentation in the SMEs sector using the apriori algorithm 

      silva d, jesus g; Gaitan-Angulo, Mercedes; Cabrera, Danelys; Kamatkar, Sadhana J.; Martínez Caraballo, Hugo; Martínez Ventura, Jairo Luis; Virviescas Peña, John Anderson; De la Hoz Hernández, Juan David (Universidad de la Costa, 2019-07-19)
      Customer´s segmentation is used as a marketing differentiation tool which allows organizations to understand their customers and build differentiated strategies. This research focuses on a database from the SMEs sector in ...
    • Association Rules Extraction for Customer Segmentation in the SMEs Sector Using the Apriori Algorithm 

      Silva, Jesus; Varela Izquierdo, Noel; Borrero López, Luz Adriana; Rojas Millán, Rafael Humberto (Procedia Computer Science, 2019)
      Data Mining applied to the field of commercialization allows, among other aspects, to discover patterns of behavior in clients, which companies can use to create marketing strategies addressed to their different types of ...
    • Association rules implementation for affinity analysis between elements composing multimedia objects 

      Mendoza Palechor, Fabio; Carrascal Oviedo, Ana; De la Hoz, Emiro (Journal of Theoretical and Applied Information Technology, 2019-03-31)
      The multimedia objects are a constantly growing resource in the world wide web, consequently it has generated as a necessity the design of methods and tools that allow to obtain new knowledge from the information analyzed. ...
    • Classification and features selection method for obesity level prediction 

      Molina Estren, Diego; De la Hoz Manotas, Alexis Kevin; Mendoza Palechor, Fabio (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 ...
    • Data mining applied in school dropout prediction 

      amelec, viloria; García Guliany, Jesús; Niebles Núñez, William; H, H; Niebles Nuñez, Leonardo David (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 ...
    • 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 ...
    • Database knowledge discovery In marketing companies 

      amelec, viloria; Li, Jin; Manosalva Sandoval, Jessica; Vargas Villa, Jesús (Universidad de la Costa, 2019)
      In recent years, technological development in both the computing and data transmission fields has allowed the storage and management of large volumes of data. Today, businesses move in highly competitive and continuous ...
    • Dataset for estimation of obesity levels based on eating habits and physical condition in individuals from Colombia, Peru and Mexico 

      Mendoza Palechor, Fabio; de la Hoz Manotas, Alexis (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 ...
    • Determinating student interactions in a virtual learning environment using data mining 

      Amelec, Viloria; Rodríguez López, Jorge; Payares, Karen; Vargas Mercado, Carlos; Ethel Duran, Sonia; Hernández-Palma, Hugo; Arrozola David, Mónica (Procedia Computer Science, 2019)
      This article focuses on determining the students´ interactions in the Virtual English Course with Distance Education Model (DEM) at Mumbai University, in India. For this purpose, an analysis was carried out on the database ...
    • Dropout-permanence analysis of university students using data mining 

      amelec, viloria; Martínez Sierra, David; García Samper, Martha; Cadavid Basto, Wilmer Orlando; Roncallo Pichón, Alberto; Hernández Palma, Hugo; Diago, Victoria; J. Kamatkar, Sadhana (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 ...
    • 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 ...
    • Forecast of operational data in electric energy plants using adaptive algorithm 

      Viloria, Amelec; García Guiliany, Jesús Enrique; Hernandez-P, Hugo; CABAS VASQUEZ, LUIS CARLOS; Pineda, Omar (Corporación Universidad de la Costa, 2020)
      Traditional time series methods offer models whose parameters remain constant over time. However, industrial supply and demand processes require timely decisions based on a dynamic reality. A change in configuration, turning ...
    • Human activity recognition through wireless body sensor networks (WBSN) applying data mining techniques 

      Rocha, Jimmy Alfonso; Piñeres Espitia, Gabriel Dario; aziz, shariq ; De-La-Hoz-Franco, Emiro; Tariq, Muhammad Imran; Carmine Sinito, Diego; Comas Gonzalez, Zhoe (Springer VerlagGermany, 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 ...
    • Indicators for smart cities: tax illicit analysis through data mining 

      Silva, Jesús; Solano, Darwin; Fernández, Claudia; Nieto Ramos, Lainet; Urdanegui, Rosella; Herz, Jeannette; Mercado, Alberto; Ovallos-Gazabon, David (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 ...
    • Integration of data mining techniques to postgreSQL database manager system 

      amelec, viloria; Camargo ACUÑA, Genesis Yulie; Alcázar Franco, Daniel Jesús; Hernández-Palma, Hugo; Fuentes-Pacheco, Jorge; Pallares Rambal, Etelberto (Procedia Computer Science, 2019)
      Data mining is a technique that allows to obtain patterns or models from the gathered data. This technique is applied in all kind of environments such as in the biological field, educational and financial applications, ...
    • Integration of data technology for analyzing university dropout 

      amelec, viloria; Garcia Padilla, Jholman; Vargas Mercado, Carlos; Hernández Palma, Hugo; ORELLANO LLINAS, NATALY; ARRAZOLA DAVID, MONICA JUDITH (Procedia Computer Science, 2019-08-19)
      Dropout, defined as the abandonment of a career before obtaining the corresponding degree, considering a significant time period to rule out the possibility of return. Higher education students´ dropout generates several ...
    • Method based on data mining techniques for breast cancer recurrence analysis 

      Morales Ortega, Roberto; Lozano-Bernal, German; Ariza Colpas, Paola Patricia; ARRIETA RODRIGUEZ, EUGENIA LUZ; Ospino Mendoza, Elisa; caicedo ortiz, jose antonio; Piñeres-Melo, Marlon Alberto; Mendoza Palechor, Fabio; Roca-Vides, Margarita (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 ...