Music Data Mining
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Music Data Mining
| Author | : Tao Li |
| Publisher | : CRC Press |
| Total Pages | : 372 |
| Release | : 2011-07-12 |
| Genre | : Business & Economics |
| ISBN | : 1439835551 |
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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
Music Data Mining Related Books
Language: en
Pages: 372
Pages: 372
Type: BOOK - Published: 2011-07-12 - Publisher: CRC Press
The research area of music information retrieval has gradually evolved to address the challenges of effectively accessing and interacting large collections of m
Language: en
Pages: 386
Pages: 386
Type: BOOK - Published: 2011-07-12 - Publisher: CRC Press
The research area of music information retrieval has gradually evolved to address the challenges of effectively accessing and interacting large collections of m
Language: en
Pages: 122
Pages: 122
Type: BOOK - Published: 2014 - Publisher:
Language: en
Pages: 156
Pages: 156
Type: BOOK - Published: 2015 - Publisher:
Language: en
Pages: 520
Pages: 520
Type: BOOK - Published: 2022-02-22 - Publisher: Taylor & Francis
From Data to Decisions in Music Education Research provides a structured and hands-on approach to working with empirical data in the context of music education
