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ICDM
2005
IEEE
137views Data Mining» more  ICDM 2005»
15 years 10 months ago
Leveraging Relational Autocorrelation with Latent Group Models
The presence of autocorrelation provides a strong motivation for using relational learning and inference techniques. Autocorrelation is a statistical dependence between the values...
Jennifer Neville, David Jensen
IV
2005
IEEE
149views Visualization» more  IV 2005»
15 years 10 months ago
Visualisation Techniques for Users and Designers of Layout Algorithms
Visualisation systems consisting of a set of components through which data and interaction commands flow have been explored by a number of researchers. Such hybrid and multistage ...
Greg Ross, Alistair Morrison, Matthew Chalmers
WACV
2005
IEEE
15 years 10 months ago
Ensemble Methods in the Clustering of String Patterns
We address the problem of clustering of contour images from hardware tools based on string descriptions, in a comparative study of cluster combination techniques. Several clusteri...
André Lourenço, Ana L. N. Fred
PAKDD
2005
ACM
94views Data Mining» more  PAKDD 2005»
15 years 10 months ago
Progressive Sampling for Association Rules Based on Sampling Error Estimation
We explore in this paper a progressive sampling algorithm, called Sampling Error Estimation (SEE), which aims to identify an appropriate sample size for mining association rules. S...
Kun-Ta Chuang, Ming-Syan Chen, Wen-Chieh Yang
138
Voted
SEMWEB
2004
Springer
15 years 10 months ago
Learning Meta-descriptions of the FOAF Network
We argue that in a distributed context, such as the Semantic Web, ontology engineers and data creators often cannot control (or even imagine) the possible uses their data or ontolo...
Gunnar Aastrand Grimnes, Peter Edwards, Alun D. Pr...