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» Computing LTS Regression for Large Data Sets
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ICCS
2009
Springer
15 years 4 months ago
Automated Provenance Collection for CCA Component Assemblies
The problem of capturing provenance for computational tasks has recently received significant attention, due to the new set of beneficial uses (for optimization, debugging, etc.)...
Kostadin Damevski, Hui Chen
69
Voted
DATAMINE
2006
139views more  DATAMINE 2006»
14 years 10 months ago
VizRank: Data Visualization Guided by Machine Learning
Data visualization plays a crucial role in identifying interesting patterns in exploratory data analysis. Its use is, however, made difficult by the large number of possible data p...
Gregor Leban, Blaz Zupan, Gaj Vidmar, Ivan Bratko
95
Voted
AAAI
2006
14 years 11 months ago
Semi-supervised Multi-label Learning by Constrained Non-negative Matrix Factorization
We present a novel framework for multi-label learning that explicitly addresses the challenge arising from the large number of classes and a small size of training data. The key a...
Yi Liu, Rong Jin, Liu Yang
AUSDM
2007
Springer
140views Data Mining» more  AUSDM 2007»
15 years 4 months ago
The application of data mining techniques to characterize agricultural soil profiles
The advances in computing and information storage have provided vast amounts of data. The challenge has been to extract knowledge from this raw data; this has lead to new methods ...
Leisa Armstrong, Dean Diepeveen, Rowan Maddern
SDM
2007
SIAM
204views Data Mining» more  SDM 2007»
14 years 11 months ago
Flexible Anonymization For Privacy Preserving Data Publishing: A Systematic Search Based Approach
k-anonymity is a popular measure of privacy for data publishing: It measures the risk of identity-disclosure of individuals whose personal information are released in the form of ...
Bijit Hore, Ravi Chandra Jammalamadaka, Sharad Meh...