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

• 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
• Soggetto genere / forma: Electronic books.
• 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
• 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.: 9910461416403321
• Lo trovi qui: Univ. Federico II
• Serie: Chapman & Hall/CRC data mining and knowledge discovery series.