Computational intelligence methods for processing misaligned, unevenly sampled time series containing missing data

IEEE SSCI 2011: Symposium Series on Computational Intelligence - CIDM 2011: 2011 IEEE Symposium on Computational Intelligence and Data Mining

Volumn , Issue , 2011, Pages 224-231

  Cismondi, Federico ^a,b   Fialho, Andre S ^a,b   Vieira, Susana M ^b   Sousa, Joao M C ^b   Reti, Shane R ^c   Howell, Michael D ^c   Finkelstein, Stan N ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b INSTITUTO SUPERIOR TÉCNICO   (Portugal)

^c HARVARD MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACQUISITION PROCESS; CLASSIFICATION RESULTS; COMPUTATIONAL INTELLIGENCE METHODS; CONFIDENCE INTERVAL; CUBIC INTERPOLATION; DATA MINING TECHNIQUES; DATA SETS; FUZZY MODELING; MISSING DATA; MISSINGNESS MECHANISM; SAMPLING FREQUENCIES; SAMPLING TIME; STATISTICAL APPROACH; UNEVENLY SAMPLED;

ARTIFICIAL INTELLIGENCE; SAMPLING; TIME SERIES;

DATA MINING;

EID: 79961200871     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIDM.2011.5949447     Document Type: Conference Paper

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