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The data sets are examined for insights in music information retrieval, music information behavior, and music representation.","abstract_html":"Jazz improvisation provides a case context for examining information in music; entropy provides a means for representing music for retrieval. Entropy measures are shown to distinguish between different improvisations on the same theme, thus demonstrating their potential for representing jazz information for analysis and retrieval. The calculated entropy measures are calibrated against human representation by means of a case study of an advanced jazz improvisation course, in which synonyms for "entropy" are frequently used by the instructor. The data sets are examined for insights in music information retrieval, music information behavior, and music representation.","abstract_has_math":false,"creators":["Simon, Scott J."],"institution":"University of North Texas","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["O'Connor, Brian Clark","Chilton, Bradley S.","Kearns, Jodi","Wheeler, Maurice B."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2005,"date_issued":"2005-12","date_published":"2005-12","updated_at":"2026-07-24T05:35:09Z","subjects":["Improvisation (Music)","Jazz.","Information retrieval.","MIR","information theory","entropy model","jazz improvisation","music technology","music analysis","computational models"],"languages":["English"],"rights":["Public","Copyright","Simon, Scott J.","Copyright is held by the author, unless otherwise noted. 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