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» On Density Based Transforms for Uncertain Data Mining
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ML
2010
ACM
138views Machine Learning» more  ML 2010»
13 years 2 months ago
Mining adversarial patterns via regularized loss minimization
Traditional classification methods assume that the training and the test data arise from the same underlying distribution. However, in several adversarial settings, the test set is...
Wei Liu, Sanjay Chawla
CORR
2011
Springer
202views Education» more  CORR 2011»
13 years 2 months ago
Multi-skill Collaborative Teams based on Densest Subgraphs
We consider the problem of identifying a team of skilled individuals for collaboration, in the presence of a social network. Each node in the input social network may be an expert...
Amita Gajewar, Atish Das Sarma
KDD
2003
ACM
191views Data Mining» more  KDD 2003»
14 years 8 months ago
Assessment and pruning of hierarchical model based clustering
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle
BTW
2005
Springer
104views Database» more  BTW 2005»
14 years 1 months ago
Maintaining Nonparametric Estimators over Data Streams
Abstract: An effective processing and analysis of data streams is of utmost importance for a plethora of emerging applications like network monitoring, traffic management, and fi...
Björn Blohsfeld, Christoph Heinz, Bernhard Se...
ICTCS
2005
Springer
14 years 1 months ago
Error Mining for Regular Expression Patterns
In the design of type systems for XML programming languages based on regular expression types and patterns the focus has been over result analysis, with the main aim of statically ...
Giuseppe Castagna, Dario Colazzo, Alain Frisch