Fusion of similarity measures for time series classification

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6679 LNAI, Issue PART 2, 2011, Pages 253-261

  Buza, Krisztian ^a   Nanopoulos, Alexandros ^a   Schmidt Thieme, Lars ^a  

^a UNIVERSITY OF HILDESHEIM   (Germany)

Author keywords

classification; fusion; hybrid similarity measure; time series

Indexed keywords

APPROPRIATE DISTANCES; CLASSIFICATION; CLASSIFICATION ACCURACY; DATA-DRIVEN; DECISION TASK; DISTANCE MEASURE; FUSION; HYBRID SIMILARITY MEASURE; NEAREST NEIGHBOR METHOD; REAL-WORLD DATASETS; SIMILARITY MEASURE; STATE OF THE ART; TIME SERIES CLASSIFICATIONS; DATA DRIVEN DECISION; STATE-OF-THE-ART METHODS;

DATA PROCESSING; INTELLIGENT SYSTEMS; TIME SERIES; ARTIFICIAL INTELLIGENCE; FUSION REACTIONS;

CLASSIFICATION (OF INFORMATION);

EID: 79957901710     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21222-2_31     Document Type: Conference Paper

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