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IJCNN
2006
IEEE
16 years 23 days ago
Nonlinear principal component analysis of noisy data
With very noisy data, having plentiful samples eliminates overfitting in nonlinear regression, but not in nonlinear principal component analysis (NLPCA). To overcome this problem...
William W. Hsieh
IPPS
1999
IEEE
15 years 11 months ago
High-Performance Knowledge Extraction from Data on PC-Based Networks of Workstations
The automatic construction of classi ers programs able to correctly classify data collected from the real world is one of the major problems in pattern recognition and in a wide ar...
Cosimo Anglano, Attilio Giordana, Giuseppe Lo Bell...
ICDE
2006
IEEE
188views Database» more  ICDE 2006»
16 years 8 months ago
Efficiently Evaluating Order Preserving Similarity Queries over Historical Market-Basket Data
We introduce a new domain-independent framework for formulating and efficiently evaluating similarity queries over historical data, where given a history as a sequence of timestam...
Reza Sherkat, Davood Rafiei
GIS
2009
ACM
16 years 7 months ago
On-Line Discovery of Flock Patterns in Spatio-Temporal Data
With the recent advancements and wide usage of location detection devices, large quantities of data are collected by GPS and cellular technologies in the form of trajectories. Whi...
Marcos R. Vieira, Petko Bakalov, Vassilis J. Tsotr...
SIGMOD
2008
ACM
144views Database» more  SIGMOD 2008»
16 years 6 months ago
Preservation of proximity privacy in publishing numerical sensitive data
We identify proximity breach as a privacy threat specific to numerical sensitive attributes in anonymized data publication. Such breach occurs when an adversary concludes with hig...
Jiexing Li, Yufei Tao, Xiaokui Xiao