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» Online Data Mining for Co-Evolving Time Sequences
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SDM
2012
SIAM
289views Data Mining» more  SDM 2012»
11 years 9 months ago
Mining Compressing Sequential Patterns
Compression based pattern mining has been successfully applied to many data mining tasks. We propose an approach based on the minimum description length principle to extract seque...
Hoang Thanh Lam, Fabian Moerchen, Dmitriy Fradkin,...
KDD
2009
ACM
169views Data Mining» more  KDD 2009»
14 years 2 months ago
On burstiness-aware search for document sequences
As the number and size of large timestamped collections (e.g. sequences of digitized newspapers, periodicals, blogs) increase, the problem of efficiently indexing and searching su...
Theodoros Lappas, Benjamin Arai, Manolis Platakis,...
CANDC
2004
ACM
13 years 7 months ago
iProLINK: an integrated protein resource for literature mining
The exponential growth of large-scale molecular sequence data and of the PubMed scientific literature has prompted active research in biological literature mining and information ...
Zhang-Zhi Hu, Inderjeet Mani, Vincent Hermoso, Hon...
HICSS
2000
IEEE
155views Biometrics» more  HICSS 2000»
13 years 12 months ago
Mining Time Dependency Patterns in Clinical Pathways
Clinical pathways are widely adopted by many large hospitals around the world in order to provide high-quality patient treatment and reduce the length of hospital stay of each pat...
Fu-ren Lin, Shien-chao Chou, Shung-mei Pan, Yao-me...
CIDM
2007
IEEE
13 years 11 months ago
Mining the Students' Learning Interest in Browsing Web-Streaming Lectures
Web-Streaming lectures overcome the space and time barriers between learning and teaching, but bring higher requirements on the learning feedback of students when they browse lectu...
Long Wang 0002, Christoph Meinel