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Comparing Time Series Through Event Clusterin
Cita
Lara Torralbo, Juan Alfonso, Pérez Pérez, Aurora 
ORCID: https://orcid.org/0000-0001-6495-3474, Caraça-Valente Hernández, Juan Pedro and López-Illescas, África
(2009).
Comparing Time Series Through Event Clusterin.
En: "2nd International Workshop on Practical Applications of Computational Biology and Bioinformatics (IWPACBB 2008)", 22/09/2008-24/09/2008, Salamanca, España. ISBN 978-3-540-85860-7.
https://doi.org/10.1007/978-3-540-85861-4.
ORCID: https://orcid.org/0000-0001-6495-3474, Caraça-Valente Hernández, Juan Pedro and López-Illescas, África
(2009).
Comparing Time Series Through Event Clusterin.
En: "2nd International Workshop on Practical Applications of Computational Biology and Bioinformatics (IWPACBB 2008)", 22/09/2008-24/09/2008, Salamanca, España. ISBN 978-3-540-85860-7.
https://doi.org/10.1007/978-3-540-85861-4.
Descripción
| Título: | Comparing Time Series Through Event Clusterin |
|---|---|
| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | 2nd International Workshop on Practical Applications of Computational Biology and Bioinformatics (IWPACBB 2008) |
| Fechas del Evento: | 22/09/2008-24/09/2008 |
| Lugar del Evento: | Salamanca, España |
| Título del Libro: | Proceedings of 2nd International Workshop on Practical Applications of Computational Biology and Bioinformatics,IWPACBB 2008, Innovations in Hybrid Intelligent Systems |
| Fecha: | 2009 |
| ISBN: | 978-3-540-85860-7 |
| Nombre de la Serie: | Advances in Soft Computing Series |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | Data Mining, Time Series, Event, Stabilometry, Posturography. |
| Escuela: | Facultad 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 comparison of two time series and the extraction of subsequences that are common to the two is a complex data mining problem. Many existing techniques, like the Discrete Fourier Transform (DFT), offer solutions for comparing two whole time series. Often, however, the important thing is to analyse certain regions, known as events, rather than the whole times series. This applies to domains like the stock market, seismography or medicine. In this paper, we propose a method for comparing two time series by analysing the events present in the two. The proposed method is applied to time series generated by stabilometric and posture graphic systems within a branch of medicine studying balance-related functions in human beings.
Más información
| ID de Registro: | 4777 |
|---|---|
| Identificador DC: | https://oa.upm.es/4777/ |
| Identificador OAI: | oai:oa.upm.es:4777 |
| Identificador DOI: | 10.1007/978-3-540-85861-4 |
| URL Oficial: | http://gsii.usal.es/~iwpacbb/ |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 03 Nov 2010 11:13 |
| Ultima Modificación: | 20 Abr 2016 13:51 |
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