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ICDM
2009
IEEE
147views Data Mining» more  ICDM 2009»
15 years 4 months ago
Greedy Optimization for Contiguity-Constrained Hierarchical Clustering
The discovery and construction of inherent regions in large spatial datasets is an important task for many research domains such as climate zoning, eco-region analysis, public heal...
Diansheng Guo
ICDM
2009
IEEE
171views Data Mining» more  ICDM 2009»
15 years 4 months ago
Hybrid Clustering by Integrating Text and Citation Based Graphs in Journal Database Analysis
We propose a hybrid clustering strategy by integrating heterogeneous information sources as graphs. The hybrid clustering method is extended on the basis of modularity based Louva...
Xinhai Liu, Shi Yu, Yves Moreau, Frizo A. L. Janss...
ICDM
2010
IEEE
235views Data Mining» more  ICDM 2010»
15 years 4 months ago
Content-Based Methods for Predicting Web-Site Demographic Attributes
Demographic information plays an important role in gaining valuable insights about a web-site's user-base and is used extensively to target online advertisements and promotion...
Santosh Kabbur, Eui-Hong Han, George Karypis
ICDM
2010
IEEE
228views Data Mining» more  ICDM 2010»
15 years 4 months ago
Active Learning from Multiple Noisy Labelers with Varied Costs
In active learning, where a learning algorithm has to purchase the labels of its training examples, it is often assumed that there is only one labeler available to label examples, ...
Yaling Zheng, Stephen D. Scott, Kun Deng
ICDM
2010
IEEE
200views Data Mining» more  ICDM 2010»
15 years 4 months ago
Bayesian Maximum Margin Clustering
Abstract--Most well-known discriminative clustering models, such as spectral clustering (SC) and maximum margin clustering (MMC), are non-Bayesian. Moreover, they merely considered...
Bo Dai, Baogang Hu, Gang Niu
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