TY  - JOUR 
AU  - Hernández de la Iglesia, Daniel
AU  - Luis Reboredo, Ana de
AU  - Omatu, Sigeru
PY  - 2014
SN  - 978-3-319-07475-7 (Print) / 978-3-319-07476-4 (Online)
SN  - 2194-5357
UR  - http://hdl.handle.net/10366/135150
AB  - Although pollen allergies have a high incidence in society, it is not very common to use applications that provide data on pollen levels from different measuring points and also predict the allergies a user may experience. This paper introduces a...
LA  - en
PB  - Springer Science + Business Media
KW  - Computer Science
TI  - Prediction System of Pollen Allergies in Mobile Devices
ER  -