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    政大機構典藏 > 資訊學院 > 資訊科學系 > 期刊論文 >  Item 140.119/75900


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    題名: Mining polyphonic repeating patterns from music data using bit-string based approaches
    作者: Shan, Man-kwan;Chiu, Shih-Chuan;Huang, Jiun-Long;Li, Hua-Fu
    沈錳坤
    貢獻者: 資科系
    日期: 2009
    上傳時間: 2015-06-17 16:22:14 (UTC+8)
    摘要: Mining repeating patterns from music data is one of the most interesting issues of multimedia data mining. However, less work are proposed for mining polyphonic repeating patterns. Hence, two efficient algorithms, A-PRPD (Apriori-based Polyphonic Repeating Pattern Discovery) and T-PRPD (Tree-based Polyphonic Repeating Pattern Discovery), are proposed to discover polyphonic repeating patterns from music data. Furthermore, a bit-string method is developed for improving the efficiency of the proposed algorithms. Experimental results show that the proposed algorithms, A-PRPD and T-PRPD, are both effective and efficient methods for mining polyphonic repeating patterns from synthetic music data and real data.
    關聯: International Conference on Multimedia Computing and Systems/International Conference on Multimedia and Expo - ICME(ICMCS) , pp. 1170-1173
    資料類型: article
    DOI 連結: http://dx.doi.org/10.1109/ICME.2009.5202708
    DOI: 10.1109/ICME.2009.5202708
    顯示於類別:[資訊科學系] 期刊論文

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