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



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Titolo: Music data mining / / edited by Tao Li, Mitsunori Ogihara, George Tzanetakis Visualizza cluster
Pubblicazione: Boca Raton, Fla. : , : CRC Press, , 2012
Edizione: 1st edition
Descrizione fisica: 1 online resource (372 p.)
Disciplina: 780.285/6312
Soggetto topico: Musical analysis - Data processing
Data mining
Information storage and retrieval systems
Classificazione: 9,2
Altri autori: LiTao  
OgiharaMitsunori <1963->  
TzanetakisGeorge <1975->  
Note generali: A Chapman & Hall book.
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: Front Cover; Contents; List of Figures; List of Tables; Preface; List of Contributors; I. Fundamental Topics; 1. Music Data Mining: An Introduction; 2. Audio Feature Extraction; II. Classification; 3. Auditory Sparse Coding; 4. Instrument Recognition; 5. Mood and Emotional Classification; 6. Zipf's Law, Power Laws, and Music Aesthetics; III. Social Aspects of Music Data Mining; 7. Web-Based and Community-Based Music Information Extraction; 8. Indexing Music with Tags; 9. Human Computation for Music Classification; IV. Advanced Topics; 10. Hit Song Science
11. Symbolic Data Mining in Musicology
Sommario/riassunto: 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
Titolo autorizzato: Music data mining  Visualizza cluster
ISBN: 0-429-10572-X
1-283-31161-5
9786613311610
1-4398-3555-1
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910789714603321
Lo trovi qui: Univ. Federico II
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Serie: Chapman & Hall/CRC data mining and knowledge discovery series.