Neubarth, Kerstin, Goienetxea, Izaro, Johnson, Colin G., Conklin, Darryl (2012) Association Mining of Folk Music Genres and Toponyms. In: Proceedings of the 13th International Society for Music Information Retrieval Conference. 13th. pp. 7-12. FEUP Edições ISBN 978-972-752-144-9. (KAR id:70952)
PDF
Author's Accepted Manuscript
Language: English |
|
Download this file (PDF/234kB) |
Preview |
Request a format suitable for use with assistive technology e.g. a screenreader | |
Official URL: http://ismir2012.ismir.net/event/papers/007_ISMIR_... |
Abstract
This paper demonstrates how association rule mining can be applied to discover relations between two ontologies of folk music: a genre and a region ontology. Genre– region associations have been widely studied in folk music research but have been neglected in music information retrieval. We present a method of association rule min- ing with constraints consisting of rule templates and rule evaluation measures to identify different, musicologically motivated, categories of genre–region associations. The method is applied to a corpus of 1902 Basque folk tunes, and several interesting rules and rule sets are discovered
Item Type: | Conference or workshop item (Paper) |
---|---|
Subjects: |
M Music and Books on Music > M Music Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Colin Johnson |
Date Deposited: | 11 Dec 2018 17:36 UTC |
Last Modified: | 16 Nov 2021 10:25 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/70952 (The current URI for this page, for reference purposes) |
- Link to SensusAccess
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):