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PAKDD
2011
ACM
473views Data Mining» more  PAKDD 2011»
12 years 11 months ago
 Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning
Discovering rare categories and classifying new instances of them is an important data mining issue in many fields, but fully supervised learning of a rare class classifier is pr...
Timothy Hospedales, Shaogang Gong and Tao Xiang
ICDM
2003
IEEE
154views Data Mining» more  ICDM 2003»
13 years 10 months ago
Frequent Sub-Structure-Based Approaches for Classifying Chemical Compounds
In this paper we study the problem of classifying chemical compound datasets. We present a sub-structure-based classification algorithm that decouples the sub-structure discovery...
Mukund Deshpande, Michihiro Kuramochi, George Kary...
ICDM
2002
IEEE
91views Data Mining» more  ICDM 2002»
13 years 10 months ago
Mining Molecular Fragments: Finding Relevant Substructures of Molecules
We present an algorithm to find fragments in a set of molecules that help to discriminate between different classes of, for instance, activity in a drug discovery context. Instea...
Christian Borgelt, Michael R. Berthold
PRL
2002
67views more  PRL 2002»
13 years 4 months ago
A pseudo-nearest-neighbor approach for missing data recovery on Gaussian random data sets
Missing data handling is an important preparation step for most data discrimination or mining tasks. Inappropriate treatment of missing data may cause large errors or false result...
Xiaolu Huang, Qiuming Zhu