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ICDM
2005
IEEE
138views Data Mining» more  ICDM 2005»
15 years 11 months ago
Labeling Unclustered Categorical Data into Clusters Based on the Important Attribute Values
Sampling has been recognized as an important technique to improve the efficiency of clustering. However, with sampling applied, those points which are not sampled will not have t...
Hung-Leng Chen, Kun-Ta Chuang, Ming-Syan Chen
166
Voted
CCGRID
2009
IEEE
15 years 10 months ago
Dynamic Provisioning of Virtual Organization Clusters
Virtual Organization Clusters are systems comprised of virtual machines that provide dedicated computing clusters for each individual Virtual Organization. The design of these clu...
Michael A. Murphy, Brandon Kagey, Michael Fenn, Se...
CORR
2010
Springer
249views Education» more  CORR 2010»
15 years 5 months ago
Performance Analysis of Spectral Clustering on Compressed, Incomplete and Inaccurate Measurements
Spectral clustering is one of the most widely used techniques for extracting the underlying global structure of a data set. Compressed sensing and matrix completion have emerged a...
Blake Hunter, Thomas Strohmer
ESORICS
2009
Springer
16 years 6 months ago
Keep a Few: Outsourcing Data While Maintaining Confidentiality
We put forward a novel paradigm for preserving privacy in data outsourcing which departs from encryption. The basic idea behind our proposal is to involve the owner in storing a li...
Valentina Ciriani, Sabrina De Capitani di Vimercat...
CIKM
2009
Springer
16 years 5 days ago
Walking in the crowd: anonymizing trajectory data for pattern analysis
Recently, trajectory data mining has received a lot of attention in both the industry and the academic research. In this paper, we study the privacy threats in trajectory data pub...
Noman Mohammed, Benjamin C. M. Fung, Mourad Debbab...