Data Mining Approach: Relevance Vector Machine for the Classification of Learning Style Based on Learning Objects

Nor Liyana Mohd Shuib, Haruna Chiroma, Rukaini Abdullah, Mohammad Hafiz Ismail, Ahmad Sofiyuddin Mohd Shuib, Nur Faizah Mohd Pahme. Data Mining Approach: Relevance Vector Machine for the Classification of Learning Style Based on Learning Objects. In David Al-Dabass, Alessandra Orsoni, Richard Cant, Jasmy Yunus, Zuwairie Ibrahim, Ismail Saad, editors, UKSim-AMSS 16th International Conference on Computer Modelling and Simulation, UKSim 2014, Cambridge, United Kingdom, March 26-28, 2014. pages 170-175, IEEE, 2014. [doi]

@inproceedings{ShuibCAISP14,
  title = {Data Mining Approach: Relevance Vector Machine for the Classification of Learning Style Based on Learning Objects},
  author = {Nor Liyana Mohd Shuib and Haruna Chiroma and Rukaini Abdullah and Mohammad Hafiz Ismail and Ahmad Sofiyuddin Mohd Shuib and Nur Faizah Mohd Pahme},
  year = {2014},
  doi = {10.1109/UKSim.2014.96},
  url = {http://dx.doi.org/10.1109/UKSim.2014.96},
  researchr = {https://researchr.org/publication/ShuibCAISP14},
  cites = {0},
  citedby = {0},
  pages = {170-175},
  booktitle = {UKSim-AMSS 16th International Conference on Computer Modelling and Simulation, UKSim 2014, Cambridge, United Kingdom, March 26-28, 2014},
  editor = {David Al-Dabass and Alessandra Orsoni and Richard Cant and Jasmy Yunus and Zuwairie Ibrahim and Ismail Saad},
  publisher = {IEEE},
  isbn = {978-1-4799-4922-9},
}