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» A new algorithm for gap constrained sequence mining
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WIRI
2005
IEEE
14 years 1 months ago
Collaborative Filtering by Mining Association Rules from User Access Sequences
Recent research in mining user access patterns for predicting Web page requests focuses only on consecutive sequential Web page accesses, i.e., pages which are accessed by followi...
Mei-Ling Shyu, Choochart Haruechaiyasak, Shu-Ching...
TCBB
2011
13 years 2 months ago
Data Mining on DNA Sequences of Hepatitis B Virus
: Extraction of meaningful information from large experimental datasets is a key element of bioinformatics research. One of the challenges is to identify genomic markers in Hepatit...
Kwong-Sak Leung, Kin-Hong Lee, Jin Feng Wang, Eddi...
SDM
2004
SIAM
189views Data Mining» more  SDM 2004»
13 years 9 months ago
An Abstract Weighting Framework for Clustering Algorithms
act Weighting Framework for Clustering Algorithms Richard Nock Frank Nielsen Recent works in unsupervised learning have emphasized the need to understand a new trend in algorithmi...
Richard Nock, Frank Nielsen
NIPS
2000
13 years 9 months ago
Keeping Flexible Active Contours on Track using Metropolis Updates
Condensation, a form of likelihood-weighted particle filtering, has been successfully used to infer the shapes of highly constrained "active" contours in video sequences...
Trausti T. Kristjansson, Brendan J. Frey
CVPR
2007
IEEE
13 years 11 months ago
Local Shape Registration Using Boundary-Constrained Match of Skeletons
This paper presents a new shape registration algorithm that establishes "meaningful correspondence" between objects, in that it preserves the local shape correspondence ...
Yun Zhu, Xenophon Papademetris, Albert J. Sinusas,...