Modelling Medical Time Series Using Grammar-Guided Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{conf/incdm/AlonsoMPSV08,

• title = "Modelling Medical Time Series Using Grammar-Guided Genetic Programming",
• author = "Fernando Alonso and Loic Martinez and Aurora Perez-Perez and Agustin Santamaria and Juan Pedro Valente",
• bibdate = "2010-02-01",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/incdm/incdm2008.html#AlonsoMPSV08",
• booktitle = "8th Industrial Conference in Data Mining, Medical Applications, E-Commerce, Marketing and Theoretical Aspects, ICDM 2008",
• publisher = "Springer",
• year = "2008",
• volume = "5077",
• editor = "Petra Perner",
• isbn13 = "978-3-540-70717-2",
• pages = "32--46",
• series = "Lecture Notes in Computer Science",
• DOI = "doi:10.1007/978-3-540-70720-2_3",
• address = "Leipzig, Germany",
• month = jul # " 16-18",
• keywords = "genetic algorithms, genetic programming, Time series characterization, isokinetics, symbolic distance, information extraction, reference model, text mining",
• size = "15 pages",
• 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.",
• notes = "Context Free Grammar",

}

Genetic Programming entries for Fernando Alonso Loic Martinez Normand Aurora Perez-Perez Agustin Santamaria Juan Pedro Caraca-valente Hernandez

Citations