Description:
Advances in digital music technology have created challenges for effectively accessing and interacting with large collections of music and associated data. This book explores how data mining addresses these challenges by mining useful information and using it to create novel ways of interacting with large music collections. Leading experts in data mining, machine learning, and music science examine fundamental issues of classification and audio signal processing and discuss social aspects of music mining. They also present new research in instrument recognition, mood and emotion classification, and hit song prediction science.
Review Quotes:
"... a useful survey for the reader specifically interested in MIR."
--Statistical Papers (2013) 54
"This book, as a collection of papers, brings together some of the leading scholars of the field to tackle a number of data mining techniques aiming mainly at data classification."
--Joonas Kauppinen, International Statistical Review, 2012