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Memorias de investigación
Courses, Seminars and tutorials:
Modelling Medical Time Series Using Grammar-Guided Genetic Programming
Year:2008
Research Areas
  • Artificial intelligence
Information
Abstract
The analysis of time series is extremely important in the field of medicine, because this is the format of many medical data types. Most of the approaches that address this problem are based on numerical algorithms that calculate distances, clusters, reference models, etc. However, a symbolic rather than numerical analysis is sometimes needed to search for the characteristics of 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 describes the definition of the symbolic domain, the process of converting numerical into symbolic time series and a distance for comparing symbolic temporal sequences. Then, the paper focuses on a method to create the symbolic reference model for a certain population using grammar-guided genetic programming. The work is applied to the isokinetics domain within an application called I4.
International
Si
Congress
INDUSTRIAL CONFERENCE ON DATA MINING 2008
Entity
INSTITUTE COMPUTER VISION AN APPLIED COMPUTER SCIENCES (ALEMANIA)
Entity Nationality
Sin nacionalidad
Place
LEIPZIG, ALEMANIA
Start Date
16/07/2008
End Date
18/07/2008
Participants
  • Participante: AGUSTIN SANTAMARIA (SUN MICROSYSTEMS)
  • Autor: Fernando Alonso Amo (UPM)
  • Autor: Aurora Perez Perez (UPM)
  • Autor: Juan Pedro Caraca-Valente Hernandez (UPM)
  • Autor: Loic Antonio Martinez Normand (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Investigación en Tecnología Informática y de las Comunicaciones: CETTICO
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
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