Visualitzant La Salle per matèria "Dades massives"

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    • Automatic tutoring system to support cross-disciplinary training in Big Data 

      Solé Beteta, Xavier; Navarro Martín, Joan; Vernet Bellet, David; Zaballos Diego, Agustín; Torres Kompen, Ricardo; Fonseca Escudero, David; Briones Delgado, Alan (The Journal of Supercomputing, 2020, 1818-1852, 2021-02)
      During the last decade, Big Data has emerged as a powerful alternative to address latent challenges in scalable data management. The ever-growing amount and rapid evolution of tools, techniques, and ...

    • Educational Warehouse: Modular, Private and Secure Cloudable Architecture System for Educational Data Storage, Analysis and Access 

      Amo Filvà, Daniel; Gómez Ponce, Pablo; Hernández Ibáñez; Fonseca Escudero, David (Applied Sciences, 2021, Vol. 11, No. 2, 2021-01)
      Data in the educational context are becoming increasingly important in decision-making and teaching-learning processes. Similar to the industrial context, educational institutions are adopting data-processing ...

    • Inferring the votes in a new political landscape: the case of the 2019 Spanish Presidential elections 

      Grimaldi, Didier; Diaz Cely, Javier; Arboleda, Hugo (Journal of Big Data, 2020, 2020-08)
      The avalanche of personal and social data circulating in Online Social Networks over the past 10 years has attracted a great deal of interest from Scholars and Practitioners who seek to analyse not only ...

    • Learning Analytics to Assess Students’ Behavior With Scratch Through Clickstream 

      Amo Filvà, Daniel; Alier Forment, Marc; Peñalvo García, Francisco J.; Fonseca Escudero, David; Casañ Guerrero, María José (2018-06)
      The construction of knowledge through computational practice requires to teachers a substantial amount of time and effort to evaluate programming skills, to understand and to glimpse the evolution of ...

    • Markets for data 

      Thomas, Llewellyn D.W.; Leiponen, Aija; Koutroumpis, Pantelis (Industrial and Corporate Change, 2020, Vol. 29, No. 3, 2020-03)
      Although datasets are abundant and assumed to be immensely valuable, they are not being shared or traded openly and transparently on a large scale. We investigate the nature of data trading with a ...