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Music Data Mining Research and Bibliograhy


 
  
a very comprehensive survey of Music data mining research, including papers and datasets for Association Mining, Genre Classification, Rhythm Classification, Artist Classification, Mood Detection and Classification and more.


Here is a useful survey of Music Data Mining, looking at a number of areas and specifying key papers, descriptions and datasets.

Music Example:
Paper: Mining Association Patterns between Music and Video Clips in Professional MTV (Journal: Advances in Multimedia Modeling '09)
Description : Use a dual-wing harmonium model to learn and represent the underlying association patterns between music and video clips in professional MTV.
Dataset:100 MTVs in different categories

Areas include

  • Association Mining
  • Classification
    • Genre Classification
    • Rhythm Classification
    • Artist Classification
    • Mood Detection and Classification
    • Instrument Classification and Recognition
    • Singer Identification
    • Clustering
  • Learning
    • Sequence Mining
    • Similarity Search
    • Music Summarization
    • Music Visualization
    • Music Indexing

KDnuggets Home » News » 2011 » Oct » Publications » Music Data Mining Research and Bibliograhy  ( < Prev | 11:n24 | Next > )