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SDM
2007
SIAM
14 years 11 months ago
2007
SIAM
Sequence segmentation is a central problem in the analysis of sequential and time-series data. In this paper we introduce and we study a novel variation to the segmentation proble...
SDM
2007
SIAM
14 years 11 months ago
2007
SIAM
In distributed data mining models, adopting a flat node distribution model can affect scalability. To address the problem of modularity, flexibility and scalability, we propose...
100
click to vote
SDM
2007
SIAM
14 years 11 months ago
2007
SIAM
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
SDM
2007
SIAM
14 years 11 months ago
2007
SIAM
When non-unique values are used as the identifier of entities, due to their homonym, confusion can occur. In particular, when (part of) “names” of entities are used as their ...
SDM
2007
SIAM
14 years 11 months ago
2007
SIAM
Consensus clustering has emerged as one of the principal clustering problems in the data mining community. In recent years the theoretical computer science community has generated...