Now showing items 1-6 of 6

    • 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 ...
    • Concentrations and size distributions of fungal bioaerosols in a municipal landfill 

      Morgado Gamero, Wendy Beatriz; Castillo Ramirez, Margarita Del Pilar; Parody, Alexander; Viloria Silva, Amelec Jesus; Arrieta Lopez, Milton Henrique; J. Kamatkar, Sadhana (Lecture Notes in Computer Science, 2018)
      The object of this research was to study the behavior of fungal bioaerosols during a sampling period of 12 months (April 2015–April 2016), in each treatment stages of a landfill located in Atlántico Department, Colombia. ...
    • Database performance tuning and query optimization 

      J. Kamatkar, Sadhana; Kamble, Ajit; Viloria Silva, Amelec Jesus; Hernández Fernández, Lissette; Garcia Cali, Ernesto Rafael (Lecture Notes in Computer Science, 2018)
      Today, IT professionals are challenged with the task of ongoing improvements to achieve goals of businesses. Unfortunately, some factor/Resources, skill environment does not dynamically grow as fast as business needs. That ...
    • Demand in the electricity market: analysis using big data 

      Amelec, Viloria; Martínez Sierra, David; Frasser Camargo, James Enrique; Batistas Zea, Karina; Fuentes Pacheco, Jorge; Hernández Palma, Hugo; J. Kamatkar, Sadhana (Universidad de la Costa, 2019)
      The traditional business model of energy companies is changing in recent years. The introduction of smart meters has led to an exponential increase in the volume of data available, and their analysis can help find consumption ...
    • 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 ...
    • Prediction rules in e-learning systems using genetic programming 

      Amelec, Viloria; Gaitan Angulo, Mercedes; J. Kamatkar, Sadhana; De la Hoz Hernández, Juan David; García Guiliany, Jesús Enrique; Redondo Bilbao, Osman Enrique; Hernandez-P, Hugo (Universidad de la Costa, 2019)
      This paper describes the use of Data Mining Techniques to improve teaching–learning processes in the linear programming course offered at the Engineering Faculty at Mumbai University, India. The proposed approach seeks to ...