Abstract
We present an exploratory data mining tool useful for finding patterns in the geographic distribution of independent UK-based music artists. Our system is interactive, highly intuitive, and entirely browser-based, meaning it can be used without any additional software installations from any device. The target audiences are artists, other music professionals, and the general public. Potential uses of our software include highlighting discrepancies in supply and demand of specific music genres in different parts of the country, and identifying at a glance which areas have the highest densities of independent music artists.
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© 2015 Springer International Publishing Switzerland
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McVicar, M., Mesnage, C., Lijffijt, J., De Bie, T. (2015). Interactively Exploring Supply and Demand in the UK Independent Music Scene. In: Bifet, A., et al. Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2015. Lecture Notes in Computer Science(), vol 9286. Springer, Cham. https://doi.org/10.1007/978-3-319-23461-8_32
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DOI: https://doi.org/10.1007/978-3-319-23461-8_32
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