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» Performance Measurements for Privacy Preserving Data Mining
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CORR
2010
Springer
249views Education» more  CORR 2010»
15 years 2 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
IJON
2010
152views more  IJON 2010»
15 years 11 days ago
Adaptive local dissimilarity measures for discriminative dimension reduction of labeled data
Due to the tremendous increase of electronic information with respect to the size of data sets as well as their dimension, dimension reduction and visualization of high-dimensiona...
Kerstin Bunte, Barbara Hammer, Axel Wismüller...
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SDM
2009
SIAM
113views Data Mining» more  SDM 2009»
15 years 11 months ago
Graph Generation with Prescribed Feature Constraints.
In this paper, we study the problem of how to generate synthetic graphs matching various properties of a real social network with two applications, privacy preserving social netwo...
Xiaowei Ying, Xintao Wu
KDD
2000
ACM
129views Data Mining» more  KDD 2000»
15 years 5 months ago
Evolutionary algorithms in data mining: multi-objective performance modeling for direct marketing
Predictive models in direct marketing seek to identify individuals most likely to respond to promotional solicitations or other intervention programs. While standard modeling appr...
Siddhartha Bhattacharyya
EDBT
2008
ACM
154views Database» more  EDBT 2008»
16 years 2 months ago
Data utility and privacy protection trade-off in k-anonymisation
K-anonymisation is an approach to protecting privacy contained within a dataset. A good k-anonymisation algorithm should anonymise a dataset in such a way that private information...
Grigorios Loukides, Jianhua Shao