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Categorization of Types of Internautes Based on Their Navigation Preferences Within Educational Environments

  • Hector F. Gomez A
  • Susana A. Arias T
  • Carlos E. Martinez
  • Miguel A. Martínez V
  • Natalia Bustamante Sanchez
  • Estefania Sanchez-Cevallos
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 111)

Abstract

In this article, the state of the art of data mining applied to obtaining frequent navigation behaviors in an educational environment is described. The procedure used by the data mining algorithms chosen to classify Internet users based on their browsing preferences which is explained. An explanation of the records that are used for the training of the algorithms is made, and finally a comparison of the efficiency of the categorization is made.

Keywords

Sequential patterns Behavior Data mining Internet models States Frequent sequences Itemsets Patterns Human behavior 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Hector F. Gomez A
    • 1
  • Susana A. Arias T
    • 1
  • Carlos E. Martinez
    • 2
  • Miguel A. Martínez V
    • 2
  • Natalia Bustamante Sanchez
    • 3
  • Estefania Sanchez-Cevallos
    • 3
  1. 1.Facultad de Ciencias Humanas y de la EducacionUniversidad Técnica de AmbatoAmbatoEcuador
  2. 2.Universidad Regional Autonoma de los Andes-UNIANDESAmbatoEcuador
  3. 3.Sec. Deptal. Hoteleria y TurismoUniversidad Tecnica Particular de LojaLojaEcuador

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