Online Mining of Recent Music Query Streams
Hua-Fu Li, Chin-Chuan Ho, Man-Kwan Shan, Suh-Yin Lee · 2006
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