Predicting the Geographical Origin of Music

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn 2015-January, Issue January, 2014, Pages 1115-1120

  Zhou, Fang ^a   Claire, Q ^b   King, Ross D ^c  

^a UNIVERSITY OF NOTTINGHAM NINGBO CHINA   (China)

^b ABERYSTWYTH UNIVERSITY   (United Kingdom)

^c UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

geographical ethnomusicology; random forest regression; regression

Indexed keywords

AUDIO ACOUSTICS; DECISION TREES; NEAREST NEIGHBOR SEARCH; REGRESSION ANALYSIS;

10-FOLD CROSS-VALIDATION; GEOGRAPHICAL ETHNOMUSICOLOGY; GEOGRAPHICAL ORIGINS; GEOGRAPHICAL POSITIONS; IMPROVING PERFORMANCE; NON-STANDARD STRUCTURES; RANDOM FORESTS; REGRESSION;

DATA MINING;

EID: 84936939728     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2014.73     Document Type: Conference Paper

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