DocumentCode
2959215
Title
Online Mining of Recent Music Query Streams
Author
Li, Hua-Fu ; Chin-Chuan Ho ; Man-Kwan Shan ; Suh-Yin Lee
Author_Institution
Dept. of Comput. Sci., Nat. Chiao-Tung Univ., Hsinchu
fYear
2006
fDate
9-12 July 2006
Firstpage
1985
Lastpage
1988
Abstract
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
Keywords
data mining; information retrieval; music; bit-sequence representation; multimedia data mining; music query stream; online one-pass algorithm; sliding window; temporal pattern; Buffer storage; Computer science; Data mining; Data structures; Databases; History; Monitoring; Multiple signal classification; Sensor phenomena and characterization; Streaming media;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia and Expo, 2006 IEEE International Conference on
Conference_Location
Toronto, Ont.
Print_ISBN
1-4244-0366-7
Electronic_ISBN
1-4244-0367-7
Type
conf
DOI
10.1109/ICME.2006.262948
Filename
4037017
Link To Document