40 search results - page 7 / 8 » Top-k Correlative Graph Mining. |
KDD
2008
ACM
14 years 5 months ago
2008
ACM
Frequent patterns provide solutions to datasets that do not have well-structured feature vectors. However, frequent pattern mining is non-trivial since the number of unique patter...
SDM
2008
SIAM
13 years 6 months ago
2008
SIAM
Multi-label learning refers to the problems where an instance can be assigned to more than one category. In this paper, we present a novel Semi-supervised algorithm for Multi-labe...
PAMI
2010
13 years 3 months ago
2010
—This work introduces a link-based covariance measure between the nodes of a weighted directed graph where a cost is associated to each arc. To this end, a probability distributi...
ICDM
2008
IEEE
13 years 11 months ago
2008
IEEE
Recent research has shown that collective classification in relational data often exhibit significant performance gains over conventional approaches that classify instances indi...
ICDM
2007
IEEE
13 years 11 months ago
2007
IEEE
Data streams are often locally correlated, with a subset of streams exhibiting coherent patterns over a subset of time points. Subspace clustering can discover clusters of objects...