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Symbol Extraction Method and Symbolic Distance for Analysing Medical Time Series
Cita
Alonso Amo, Fernando 
ORCID: https://orcid.org/0000-0001-9437-9258, Martínez Normand, Loïc ORCID: https://orcid.org/0000-0002-6906-5828, Pérez Pérez, Aurora ORCID: https://orcid.org/0000-0001-6495-3474, Santamaría Falcón, Agustín and Caraça-Valente Hernández, Juan Pedro
(2006).
Symbol Extraction Method and Symbolic Distance for Analysing Medical Time Series.
"Lecture Notes in Computer Science", v. 4345
;
pp. 311-322.
ISSN 0302-9743.
https://doi.org/10.1007/11946465_28.
ORCID: https://orcid.org/0000-0001-9437-9258, Martínez Normand, Loïc ORCID: https://orcid.org/0000-0002-6906-5828, Pérez Pérez, Aurora ORCID: https://orcid.org/0000-0001-6495-3474, Santamaría Falcón, Agustín and Caraça-Valente Hernández, Juan Pedro
(2006).
Symbol Extraction Method and Symbolic Distance for Analysing Medical Time Series.
"Lecture Notes in Computer Science", v. 4345
;
pp. 311-322.
ISSN 0302-9743.
https://doi.org/10.1007/11946465_28.
Descripción
| Título: | Symbol Extraction Method and Symbolic Distance for Analysing Medical Time Series |
|---|---|
| Autor/es: |
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| Tipo de Documento: | Artículo |
| Título de Revista/Publicación: | Lecture Notes in Computer Science |
| Fecha: | Enero 2006 |
| ISSN: | 0302-9743 |
| Volumen: | 4345 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | Time series characterization, isokinetics, symbolic distance, information extraction and text mining. |
| Escuela: | E.U. de Informática (UPM) [antigua denominación] |
| Departamento: | Lenguajes y Sistemas Informáticos e Ingeniería del Software |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
The analysis of time series databases is very important in the area of medicine. Most of the approaches that address this problem are based on numerical algorithms that calculate distances, clusters, index trees, etc. However, a symbolic rather than numerical analysis is sometimes needed to search for the characteristics of the time series. Symbolic information helps users to efficiently analyse and compare time series in the same or in a similar way as a domain expert would. This paper focuses on the process of transforming numerical time series into a symbolic domain and on the definition of both this domain and a distance for comparing symbolic temporal sequences. The work is applied to the isokinetics domain within an application called I4.
Más información
| ID de Registro: | 8734 |
|---|---|
| Identificador DC: | https://oa.upm.es/8734/ |
| Identificador OAI: | oai:oa.upm.es:8734 |
| Identificador DOI: | 10.1007/11946465_28 |
| URL Oficial: | http://www.springerlink.com/content/b078614853816u... |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 30 Sep 2011 11:34 |
| Ultima Modificación: | 20 Abr 2016 17:25 |
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