@inproceedings{6d489479e54e4f33910f6d643ac233ca,
title = "Efficient feature mining in music objects",
abstract = "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.",
author = "Koh, {Jia Ling} and Yu, {William D.C.}",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2001.; 12th International Conference on Database and Expert Systems Applications, DEXA 2001 ; Conference date: 03-09-2001 Through 05-09-2001",
year = "2001",
doi = "10.1007/3-540-44759-8_23",
language = "English",
isbn = "3540425276",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "221--231",
editor = "Mayr, {Heinrich C.} and Jiri Lazansky and Gerald Quirchmayr and Pavel Vogel",
booktitle = "Database and Expert Systems Applications - 12th International Conference, DEXA 2001, Proceedings",
}