Efficient feature mining in music objects

Jia-Ling Koh, William D.C. Yu

研究成果: 書貢獻/報告類型會議貢獻

4 引文 斯高帕斯(Scopus)

摘要

This paper proposes novel strategies for efficiently extracting repeating patterns and frequent note sequences in music objects. Based on bit stream representation, the bit index sequences are designed for representing the whole note sequence of a music object with little space requirement. Besides, the proposed algorithm counts the repeating frequency of a pattern efficiently to rapidly extracting repeating patterns in a music object. Moreover, with the assist of appearing bit sequences, another algorithm is proposed for verifying the frequent note sequences in a set of music objects efficiently. Experimental results demonstrate that the performance of the proposed approach is more efficient than the related works.

原文英語
主出版物標題Database and Expert Systems Applications - 12th International Conference, DEXA 2001, Proceedings
編輯Pavel Vogel, Gerald Quirchmayr, Heinrich C. Mayr, Jiri Lazansky
發行者Springer Verlag
頁面221-231
頁數11
ISBN(列印)3540425276, 9783540425274
出版狀態已發佈 - 2001 一月 1
事件12th International Conference on Database and Expert Systems Applications, DEXA 2001 - Munich, 德国
持續時間: 2001 九月 32001 九月 5

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2113
ISSN(列印)0302-9743
ISSN(電子)1611-3349

其他

其他12th International Conference on Database and Expert Systems Applications, DEXA 2001
國家德国
城市Munich
期間01/9/301/9/5

    指紋

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

引用此

Koh, J-L., & Yu, W. D. C. (2001). Efficient feature mining in music objects. 於 P. Vogel, G. Quirchmayr, H. C. Mayr, & J. Lazansky (編輯), Database and Expert Systems Applications - 12th International Conference, DEXA 2001, Proceedings (頁 221-231). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 2113). Springer Verlag.