Online Mining of Recent Music Query Streams

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.

• Type: Conference
• Year: 2006
• Where: ICMCS
• Authors: Hua-Fu Li, Chin-Chuan Ho, Man-Kwan Shan, Suh-Yin Lee
• Keywords: ICMCS 2006, Mining Multimedia Data, Music Query, Online One-pass Algorithm