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Discovery of personal processes from labeled sensor data: An application of process mining to personalized health care

Autor
Sztyler, T.; Völker, J.; Carmona, J.; Meier, O.; Stuckenschmidt, H.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
International Workshop on Algorithms & Theories for the Analysis of Event Data 2015
Any de l'edició
2015
Data de presentació
2015-06-22
Llibre d'actes
Proceedings of the International Workshop on Algorithms & Theories for the Analysis of Event Data: Brussels, Belgium, June 22-23, 2015
Pàgina inicial
31
Pàgina final
46
Editor
CEUR-WS.org
Repositori
http://hdl.handle.net/2117/84017 Obrir en finestra nova
URL
http://ceur-ws.org/Vol-1371/ Obrir en finestra nova
Resum
Currently, there is a trend to promote personalized health care in order to prevent diseases or to have a healthier life. Using current devices such as smart-phones and smart-watches, an individual can easily record detailed data from her daily life. Yet, this data has been mainly used for self-tracking in order to enable personalized health care. In this paper, we provide ideas on how process mining can be used as a fine-grained evolution of traditional self-tracking. We have applied the ideas ...
Citació
Sztyler, T., Völker, J., Carmona, J., Meier, O., Stuckenschmidt, H. Discovery of personal processes from labeled sensor data: An application of process mining to personalized health care. A: International Workshop on Algorithms & Theories for the Analysis of Event Data. "Proceedings of the International Workshop on Algorithms & Theories for the Analysis of Event Data: Brussels, Belgium, June 22-23, 2015". Bruselas: CEUR-WS.org, 2015, p. 31-46.
Grup de recerca
ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals

Participants

  • Sztyler, Timo  (autor ponent)
  • Völker, Johanna  (autor ponent)
  • Carmona Vargas, Jose  (autor ponent)
  • Meier, Oliver  (autor ponent)
  • Stuckenschmidt, Heiner  (autor ponent)

Arxius