Online mining of recent music query streams

Hua Fu Li, Chin-Chuan Ho, Man Kwan Shan, Suh-Yin Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Mining multimedia data is one of the most important issues in data mining. In this paper, we propose an online one-pass algorithm to mine the set of frequent temporal patterns in online music query streams with a sliding window. An effective bit-sequence representation is used to reduce the processing time and memory needed to slide the windows. Experiments show that the proposed algorithm only needs a half of memory requirement of original music query data, and just scans the data once.
Original languageEnglish
Title of host publicationIEEE International Conference on Multimedia and Expo (ICME 2006)
Pages1985-1988
Number of pages4
DOIs
StatePublished - 2006

Keywords

  • 10.1109/ICME.2006.262948

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    Li, H. F., Ho, C-C., Shan, M. K., & Lee, S-Y. (2006). Online mining of recent music query streams. In IEEE International Conference on Multimedia and Expo (ICME 2006) (pp. 1985-1988) https://doi.org/10.1109/ICME.2006.262948