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ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
13 years 7 months ago
Argumentation Based Constraint Acquisition
Efficient acquisition of constraint networks is a key factor for the applicability of constraint problem solving methods. Current techniques ease knowledge acquisition by generati...
Kostyantyn M. Shchekotykhin, Gerhard Friedrich
ICDM
2009
IEEE
139views Data Mining» more  ICDM 2009»
13 years 7 months ago
Frequent Pattern Discovery from a Single Graph with Quantitative Itemsets
In this paper, we focus on a single graph whose vertices contain a set of quantitative attributes. Several networks can be naturally represented in this complex graph. An example i...
Yuuki Miyoshi, Tomonobu Ozaki, Takenao Ohkawa
ICDM
2009
IEEE
108views Data Mining» more  ICDM 2009»
14 years 4 months ago
RING: An Integrated Method for Frequent Representative Subgraph Mining
—We propose a novel representative based subgraph mining model. A series of standards and methods are proposed to select invariants. Patterns are mapped into invariant vectors in...
Shijie Zhang, Jiong Yang, Shirong Li
ICDM
2009
IEEE
174views Data Mining» more  ICDM 2009»
14 years 4 months ago
Non-sparse Multiple Kernel Learning for Fisher Discriminant Analysis
—We consider the problem of learning a linear combination of pre-specified kernel matrices in the Fisher discriminant analysis setting. Existing methods for such a task impose a...
Fei Yan, Josef Kittler, Krystian Mikolajczyk, Muha...
ICDM
2009
IEEE
175views Data Mining» more  ICDM 2009»
13 years 7 months ago
Maximum Margin Clustering with Multivariate Loss Function
This paper presents a simple but powerful extension of the maximum margin clustering (MMC) algorithm that optimizes multivariate performance measure specifically defined for clust...
Bin Zhao, James Tin-Yau Kwok, Changshui Zhang