Music data mining / edited by Tao Li, Mitsunori Ogihara, George Tzanetakis.

The research area of music information retrieval has gradually evolved to address the challenges of effectively accessing and interacting large collections of music and associated data, such as styles, artists, lyrics, and reviews. Bringing together an interdisciplinary array of top researchers, Mus...

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Bibliographic Details
Other Authors: Li, Tao, Ogihara, Mitsunori, 1963-, Tzanetakis, George, 1975-
Format: eBook
Language:English
Published: Boca Raton, Fla. : Taylor & Francis, 2011.
Series:Chapman & Hall/CRC data mining and knowledge discovery series ; 21.
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Online Access:Click for online access
Description
Summary:The research area of music information retrieval has gradually evolved to address the challenges of effectively accessing and interacting large collections of music and associated data, such as styles, artists, lyrics, and reviews. Bringing together an interdisciplinary array of top researchers, Music Data Mining presents a variety of approaches to successfully employ data mining techniques for the purpose of music processing.The book first covers music data mining tasks and algorithms and audio feature extraction, providing a framework for subsequent chapters. With a focus on data classificat.
Physical Description:1 online resource (384 pages) : illustrations
ISBN:1439835527
9781439835524
Source of Description, Etc. Note:Print version record.