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» An Iterative Method for Mining Frequent Temporal Patterns
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114
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ICASSP
2011
IEEE
14 years 4 months ago
Time-constrained sequential pattern discovery for music genre classification
Music consists of both local and long-term temporal information. However, for a genre classification task, most of the text categorization based approaches only capture local temp...
Jia-Min Ren, Jyh-Shing Roger Jang
103
Voted
IEICET
2007
127views more  IEICET 2007»
15 years 9 days ago
Integration of Learning Methods, Medical Literature and Expert Inspection in Medical Data Mining
abstraction and text mining methods to exploit the collected data. Furthermore, our visual discovery system D2MS allowed to actively and effectively working with physicians. Signi...
Tu Bao Ho, Saori Kawasaki, Katsuhiko Takabayashi, ...
HICSS
2003
IEEE
171views Biometrics» more  HICSS 2003»
15 years 5 months ago
Improving the Efficiency of Interactive Sequential Pattern Mining by Incremental Pattern Discovery
The discovery of sequential patterns, which extends beyond frequent item-set finding of association rule mining, has become a challenging task due to its complexity. Essentially, ...
Ming-Yen Lin, Suh-Yin Lee
140
Voted
IJAR
2011
118views more  IJAR 2011»
14 years 3 months ago
A sequential pattern mining algorithm using rough set theory
Sequential pattern mining is a crucial but challenging task in many applications, e.g., analyzing the behaviors of data in transactions and discovering frequent patterns in time se...
Ken Kaneiwa, Yasuo Kudo
CIB
2002
100views more  CIB 2002»
15 years 6 days ago
Web-log Mining for Quantitative Temporal-Event Prediction
The web log data embed much of web users' browsing behavior. From the web logs, one can discover patterns that predict the users' future requests based on their current b...
Qiang Yang, Hui Wang, Wei Zhang