| dc.contributor.author | Carús Candás, Juan Luis | |
| dc.contributor.author | Peláez, Víctor | |
| dc.contributor.author | López, Gloria | |
| dc.contributor.author | Fernández, Miguel Ángel | |
| dc.contributor.author | Álvarez Álvarez, Eduardo | |
| dc.contributor.author | Díaz, Gabriel | |
| dc.date.accessioned | 2015-03-20T12:41:38Z | |
| dc.date.available | 2015-03-20T12:41:38Z | |
| dc.date.issued | 2014 | |
| dc.identifier.citation | Pervasive And Mobile Computing, 15, p. 228-241 (2014); doi:10.1016/j.pmcj.2014.09.007 | |
| dc.identifier.issn | 1574-1192 | |
| dc.identifier.issn | 1873-1589 | |
| dc.identifier.uri | http://hdl.handle.net/10651/30415 | |
| dc.format.extent | p. 228-241 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Pervasive And Mobile Computing | |
| dc.rights | © 2014 Elsevier B.V. All rights reserved | |
| dc.source | WOS:000345523900016 | |
| dc.title | An automatic data mining method to detect abnormal human behaviour using physical activity measurements | eng |
| dc.type | journal article | |
| dc.identifier.doi | 10.1016/j.pmcj.2014.09.007 | |
| dc.relation.publisherversion | http://dx.doi.org/10.1016/j.pmcj.2014.09.007 | |
