Now showing items 1-2 of 2

    • Measuring accuracy of triples in knowledge graphs 

      Liu, Shuangyan; d’Aquin, Mathieu; Motta, Enrico (Springer, 2017-06-19)
      An increasing amount of large-scale knowledge graphs have been constructed in recent years. Those graphs are often created from text-based extraction, which could be very noisy. So far, cleaning knowledge graphs are ...
    • Unsupervised learning for understanding student achievement in a distance learning setting 

      Liu, Shuangyan; d’Aquin, Mathieu (IEEE, 2017-04-25)
      Many factors could affect the achievement of students in distance learning settings. Internal factors such as age, gender, previous education level and engagement in online learning activities can play an important role ...