Web elkarrekintzan erabilitako gailuen detekzio automatikoa

  1. Iñigo Perona Balda
  2. Ainhoa Yera Gil
  3. Olatz Arbelaitz Gallego
  4. Javier Muguerza Rivero
  5. Juan Eduardo Perez Lopez
  6. Xabier Valencia Para ta
Llibre:
II. Ikergazte nazioarteko ikerketa euskaraz: Kongresuko artikulu-bilduma.
  1. Iñaki Alegria (ed. lit.)
  2. Ainhoa Latatu (ed. lit.)
  3. Miren Josu Omaetxebarria (ed. lit.)
  4. Patxi Salaberri (ed. lit.)

Editorial: Udako Euskal Unibertsitatea, UEU = Universidad Vasca de Verano

ISBN: 978-84-8438-627-8,  978-84-8438-632-2

Any de publicació: 2017

Títol del volum: Ingenieritza eta Arkitektura

Tom: 5

Volum: 5

Pàgines: 22-29

Congrés: Ikergazte. Nazioarteko Ikerketa Euskaraz (2. 2017. Iruñea)

Tipus: Aportació congrés

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Resum

Nowadays the importance of digital competences makes important to capacitate people with disabilities in the use of digital devices and applications, and moreover, to adapt the site interaction to their necessities automatically. This work focuses on the latter, identifying important user characteristics and the device being used to interact with the computer. Based on web user interaction data, the complete data mining process has been carried out to build a system able to identify the used device. This system has obtained %99.22 of accuracy distinguishing between groups of devices with similar navigational response.

Fuente de los datos: Dialnet