Classification and Data Mining in Musicology

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BERAN, Jan, 2005. Classification and Data Mining in Musicology. In: WEIHS, Claus, ed., Wolfgang GAUL, ed.. Classification — the Ubiquitous Challenge. Berlin/Heidelberg:Springer-Verlag, pp. 3-10. ISBN 3-540-25677-6. Available under: doi: 10.1007/3-540-28084-7_1

@inproceedings{Beran2005Class-27593, title={Classification and Data Mining in Musicology}, year={2005}, doi={10.1007/3-540-28084-7_1}, isbn={3-540-25677-6}, address={Berlin/Heidelberg}, publisher={Springer-Verlag}, series={Studies in Classification, Data Analysis, and Knowledge Organization}, booktitle={Classification — the Ubiquitous Challenge}, pages={3--10}, editor={Weihs, Claus and Gaul, Wolfgang}, author={Beran, Jan} }

<rdf:RDF xmlns:dcterms="" xmlns:dc="" xmlns:rdf="" xmlns:bibo="" xmlns:dspace="" xmlns:foaf="" xmlns:void="" xmlns:xsd="" > <rdf:Description rdf:about=""> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:date rdf:datatype="">2014-04-25T08:41:54Z</dc:date> <bibo:uri rdf:resource=""/> <dc:creator>Beran, Jan</dc:creator> <dcterms:available rdf:datatype="">2014-04-25T08:41:54Z</dcterms:available> <dc:contributor>Beran, Jan</dc:contributor> <dcterms:title>Classification and Data Mining in Musicology</dcterms:title> <dcterms:bibliographicCitation>Classification - the ubiquitous challenge : University of Dortmund, March 9 - 11, 2004; with ... 108 tables / Claus Weihs ... (eds.). - Berlin [u.a.] : Springer, 2005. - S. 3-10. - (Proceedings of the ... annual conference of the Gesellschaft für Klassifikation e.V. ; 28). - ISBN 978-3-540-25677-9</dcterms:bibliographicCitation> <dspace:isPartOfCollection rdf:resource=""/> <dc:rights>terms-of-use</dc:rights> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dcterms:rights rdf:resource=""/> <dcterms:issued>2005</dcterms:issued> <dcterms:isPartOf rdf:resource=""/> <dcterms:abstract xml:lang="eng">Data in music are complex and highly structured. In this talk a number of descriptive and model-based methods are discussed that can be used as pre-processing devices before standard methods of classification, clustering etc. can be applied. The purpose of pre-processing is to incorporate prior knowledge in musicology and hence to filter out information that is relevant from the point of view of music theory. This is illustrated by a number of examples from classical music, including the analysis of scores and of musical performance.</dcterms:abstract> <dc:language>eng</dc:language> </rdf:Description> </rdf:RDF>

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