A chaotic map algorithm for knowledge discovery in time series: A case study on biomedical signals

IEEE Transactions on Nuclear Science

Volumn 51, Issue 3 I, 2004, Pages 553-557

  Bellotti, Roberto ^a,b   Castellano, Marcello ^c   De Carlo, Francesco ^d  

^a UNIVERSITY OF BARI   (Italy)

^b TIRES: Ctr Innov Technol SD/P   (Italy)

^c POLITECNICO DI BARI   (Italy)

^d INFN SEZIONE DI BARI   (Italy)

Author keywords

Chaotic maps; Clustering algorithms; EEG; Huntington's disease; Knowledge discovery

Indexed keywords

ALGORITHMS; BIOMEDICAL ENGINEERING; COMPUTER NETWORKS; COMPUTER SIMULATION; CONFORMAL MAPPING; DATABASE SYSTEMS; ELECTROENCEPHALOGRAPHY; NUCLEAR PHYSICS; OPTIMIZATION; PATHOLOGY; TIME SERIES ANALYSIS;

CHAOTIC MAPS; CLUSTERING ALGORITHMS; HUNTINGTON'S DISEASE; KNOWLEDGE DISCOVERY;

CHAOS THEORY;

EID: 3342914969     PISSN: 00189499     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNS.2004.828529     Document Type: Conference Paper

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