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Volumn 5077 LNAI, Issue , 2008, Pages 32-46

Modelling medical time series using grammar-guided genetic programming

Author keywords

Information extraction; Isokinetics; Reference model; Symbolic distance; Text mining; Time series characterization

Indexed keywords

DATA MINING; GENETIC ALGORITHMS; GENETIC PROGRAMMING; INFORMATION RETRIEVAL; MEDICAL APPLICATIONS; MEDICAL COMPUTING; TIME SERIES;

EID: 48949093584     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-70720-2_3     Document Type: Conference Paper
Times cited : (4)

References (23)
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    • Alonso, F., Martínez, L., Pérez, A., Santamaría, A., Valente, J.P.: Symbol Extraction Method and Symbolic Distance for Analysing Medical Time Series. In: Maglaveras, N., Chouvarda, I., Koutkias, V., Brause, R. (eds.) ISBMDA 2006. LNCS (LNBI), vol. 4345, pp. 311-322. Springer, Heidelberg (2006)
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    • Alonso, F.1    Valente, J.P.2    Martínez, L.3    Montes, C.4
  • 5
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    • D'haesler, P.: Context Preserving Crossover in Genetic Programming. In: Proceedings of the 1994 IEEE World Congress on Computational Intelligence, Orlando, Florida, USA, vol. (1), pp. 379-407 (1994)
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    • Adaptive genetic programming for steady-state process modelling
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.