@ARTICLE{KarydisNM2007,
  AUTHOR =       {Ioannis Karydis and Alexandros Nanopoulos and Yannis Manolopoulos},
  TITLE =        {Finding Maximum-Length Repeating Patterns in Music Databases},
  JOURNAL =      {Multimedia Tools & Applications},
  YEAR =         {2007},
  volume =       {32},
  number =       {1},
  pages =        {49--71},
  abstract =     {This paper introduces the problem of discovering maximum-length repeating patterns in music objects. A novel algorithm is presented for the extraction of this kind of patterns from a melody music object. The proposed algorithm discovers all maximum-length repeating patterns using an “aggressive” accession during searching, by avoiding costly repetition frequency calculation and by examining as few as possible repeating patterns in order to reach the maximum-length repeating pattern(s). Detailed experimental results illustrate the significant performance gains due to the proposed algorithm, compared to an existing baseline algorithm.},
  keywords =     {maximum-length repeating patterns, data mining, theme discovery, music databases},
}