Mining Association Rules From MusicBrainz
نویسندگان
چکیده
MusicBrainz is a publicly available relational database that stores information about artists, releases, tracks and the relationship among them. We present the results of mining association rules from this dataset, with the aim of obtaining knowledge about artists and their work. We are able to obtain associations between features, such as native language, and quantify how likely it is for an artist to do the “cross-over” to another language; or to associate the volume of work an artist produces with respect to a specific music label or genre. The number of possible association rules is virtually infinite so we limit the scope of this work to a few meaningful ones. Nonetheless, there is plenty of room for future work on this.
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