This paper addresses the topic of knowledge discovery from data in the context of Arts. In particular, the paper aims to examine the “distant listening” approach to uncover and interpret patterns and rules behind archaeology-inspired music. This approach employs quantitative data mining and graphical visualisation tools to identify and present discovered patterns in music data. […]