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 contributionpeer-review

1 Scopus citations


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)
Number of pages4
StatePublished - 2006


  • 10.1109/ICME.2006.262948

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