Review mining for music digital libraries: Phase II

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries

Volumn 2006, Issue , 2006, Pages 196-197

  Downie, J Stephen ^a   Hu, Xiao ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

Descriptive patterns; Frequent pattern mining; Music reviews

Indexed keywords

DESCRIPTIVE PATTERNS; FREQUENT PATTERN MINING; MUSIC DIGITAL LIBRARIES (MDL); MUSIC REVIEWS;

AUTOMATION; DATA MINING; INFORMATION SCIENCE; PATTERN RECOGNITION; USER INTERFACES;

DIGITAL LIBRARIES;

EID: 34247211689     PISSN: 15525996     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1141753.1141796     Document Type: Conference Paper

References (4)

1. Cunningham, S.J., Downie, J.S., and Bainbridge, D. "The Pain, The Pain": Modeling music information behavior and the songs we hate. In Proceedings of the 6th International Symposium on Music Information Retrieval. 2005, 474-477.
2. Han, J., Pei, J., and Yin, Y. Mining frequent patterns without candidate generation. In Proceedings of the ACM SIGMOD 2000. 1-12.
3. Hu, X., Downie J.S., West K., and Ehmann A. Mining Music Reviews: Promising Preliminary Results. In Proceedings of the 6th International Symposium on Music Information Retrieval. 2005, 536-539.
4. Welge, M., et al. Data to Knowledge (D2K) An Automated Learning Group Report. NCSA, University of Illinois at Urbana-Champaign, 2003. (http://alg.ncsa.uiuc.edu)