Exploring the design space of symbolic music genre classification using data mining techniques

2008 International Conference on Computational Intelligence for Modelling Control and Automation, CIMCA 2008

Volumn , Issue , 2008, Pages 43-48

  Kofod, Christian ^a   Ortiz Arroyo, Daniel ^a  

^a AALBORG UNIVERSITY   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING TECHNIQUES; DESIGN SPACES; ENSEMBLES OF CLASSIFIERS; EXECUTION TIME; MIDI FILES; MUSIC FILES; MUSIC GENRE; MUSIC GENRE CLASSIFICATION; NAIVE BAYES; PROBABILISTIC CLASSIFIERS; STATE OF THE ART; SYMBOLIC FEATURES;

ARTIFICIAL INTELLIGENCE; CLASSIFIERS; DATA MINING; DATA PROCESSING; ELECTRONIC MUSICAL INSTRUMENTS; FEATURE EXTRACTION; LEARNING SYSTEMS;

CLASSIFICATION (OF INFORMATION);

EID: 70449560636     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIMCA.2008.223     Document Type: Conference Paper

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