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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| Online Access: |
Full Text (via O'Reilly/Safari) |
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| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
Boca Raton :
CRC Press,
©2012.
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| Series: | Chapman & Hall/CRC data mining and knowledge discovery series.
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| Subjects: |
| 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. |
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| Physical Description: | 1 online resource (xxiv, 360 pages) : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781439835555 1439835551 1283311615 9781283311618 |
| Source of Description, Etc. Note: | Print version record. |