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2006 IEEE International Conference on Multimedia and Expo
Online Mining of Recent Music Query Streams
Toronto, ON, Canada
July 09-July 12
ISBN: 1-4244-0366-7
ASCII Text
x 
 
Hua-fu Li, Chin-chuan Ho, Man-kwan Shan, Suh-yin Lee, "Online Mining of Recent Music Query Streams," Multimedia and Expo, IEEE International Conference on, pp. 1985-1988, 2006 IEEE International Conference on Multimedia and Expo, 2006.
 
 
BibTex
x
 
@article{ 10.1109/ICME.2006.262948,
author = {Hua-fu Li and Chin-chuan Ho and Man-kwan Shan and Suh-yin Lee},
title = {Online Mining of Recent Music Query Streams},
journal ={Multimedia and Expo, IEEE International Conference on},
volume = {0},
year = {2006},
isbn = {1-4244-0366-7},
pages = {1985-1988},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICME.2006.262948},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Multimedia and Expo, IEEE International Conference on
TI - Online Mining of Recent Music Query Streams
SN - 1-4244-0366-7
SP1985
EP1988
A1 - Hua-fu Li,
A1 - Chin-chuan Ho,
A1 - Man-kwan Shan,
A1 - Suh-yin Lee,
PY - 2006
KW - null
VL - 0
JA - Multimedia and Expo, IEEE International Conference on
ER -
 
Hua-fu Li, Department of Computer Science, National Chiao-Tung University, Hsinchu 300, Taiwan. Email: hfli@csie.nctu.edu.tw
Chin-chuan Ho, Department of Computer Science, National Chiao-Tung University, Hsinchu 300, Taiwan. hocc@csie.nctu.edu.tw
Man-kwan Shan, Department of Computer Science, National Chengchi University, Taipei 116, Taiwan. mkshan@cs.nccu.edu.tw
Suh-yin Lee, Department of Computer Science, National Chiao-Tung University, Hsinchu 300, Taiwan. sylee@csie.nctu.edu.tw
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.
Citation:
Hua-fu Li, Chin-chuan Ho, Man-kwan Shan, Suh-yin Lee, "Online Mining of Recent Music Query Streams," icme, pp.1985-1988, 2006 IEEE International Conference on Multimedia and Expo, 2006
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