Association Mining of Folk Music Genres and Toponyms

Neubarth, Kerstin and Goienetxea, Izaro and Johnson, Colin G. and Conklin, Darryl (2012) Association Mining of Folk Music Genres and Toponyms. In: Proceedings of the 13th International Society for Music Information Retrieval Conference. FEUP Edições pp. 7-12. ISBN 978-972-752-144-9. (Full text available)

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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: Faculties > Sciences > School of Computing
Depositing User: Colin Johnson
Date Deposited: 11 Dec 2018 17:36 UTC
Last Modified: 12 Dec 2018 10:41 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/70952 (The current URI for this page, for reference purposes)
Johnson, Colin G.: https://orcid.org/0000-0002-9236-6581
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