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» A supervised learning approach for imbalanced data sets
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ICDM
2010
IEEE
228views Data Mining» more  ICDM 2010»
15 years 2 months ago
Multi-label Feature Selection for Graph Classification
Nowadays, the classification of graph data has become an important and active research topic in the last decade, which has a wide variety of real world applications, e.g. drug acti...
Xiangnan Kong, Philip S. Yu
KDD
2012
ACM
247views Data Mining» more  KDD 2012»
13 years 6 months ago
Integrating meta-path selection with user-guided object clustering in heterogeneous information networks
Real-world, multiple-typed objects are often interconnected, forming heterogeneous information networks. A major challenge for link-based clustering in such networks is its potent...
Yizhou Sun, Brandon Norick, Jiawei Han, Xifeng Yan...
ICDE
2005
IEEE
126views Database» more  ICDE 2005»
15 years 10 months ago
ProtChew: Automatic Extraction of Protein Names from Biomedical Literature
With the increasing amount of biomedical literature, there is a need for automatic extraction of information to support biomedical researchers. Due to incomplete biomedical inform...
Amund Tveit, Rune Sætre, Astrid Lægrei...
PKDD
2005
Springer
95views Data Mining» more  PKDD 2005»
15 years 9 months ago
Ensembles of Balanced Nested Dichotomies for Multi-class Problems
Abstract. A system of nested dichotomies is a hierarchical decomposition of a multi-class problem with c classes into c − 1 two-class problems and can be represented as a tree st...
Lin Dong, Eibe Frank, Stefan Kramer
CIARP
2009
Springer
15 years 7 months ago
A Brief Index for Proximity Searching
A large number of computer tasks can be modeled as the search for an object near a given query. From multimedia databases to learning algorithms, data mining and pattern recognitio...
Eric Sadit Tellez, Edgar Chávez, Antonio Ca...