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PAKM
2008
15 years 5 months ago
Classifying Digital Resources in a Practical and Coherent Way with Easy-to-Get Features
With a rich variety of forms and types, digital resources are complex data objects. They grows fast in volume on the Web, but hard to be classified efficiently. The paper presents ...
Chong Chen, Hongfei Yan, Xiaoming Li
SDM
2008
SIAM
256views Data Mining» more  SDM 2008»
15 years 5 months ago
Graph Mining with Variational Dirichlet Process Mixture Models
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
Koji Tsuda, Kenichi Kurihara
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
15 years 5 months ago
Cluster Ensemble Selection
This paper studies the ensemble selection problem for unsupervised learning. Given a large library of different clustering solutions, our goal is to select a subset of solutions t...
Xiaoli Z. Fern, Wei Lin
SDM
2008
SIAM
133views Data Mining» more  SDM 2008»
15 years 5 months ago
Semantic Smoothing for Bayesian Text Classification with Small Training Data
Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
MEDINFO
2007
128views Healthcare» more  MEDINFO 2007»
15 years 5 months ago
Biomedical Vocabularies - the Demand for Differentiation
The need of biomedical vocabularies is well known for various tasks, e.g., supporting structured data entry, decision support and electronic data exchange as well as retrieval and...
Josef Ingenerf, Siegfried J. Pöppl