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» Privacy-Preserving k-NN for Small and Large Data Sets
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IPMI
2003
Springer
16 years 4 days ago
Analysis of Event-Related fMRI Data Using Best Clustering Bases
We explore a new paradigm for the analysis of event-related functional magnetic resonance images (fMRI) of brain activity. We regard the fMRI data as a very large set of time serie...
François G. Meyer, Jatuporn Chinrungrueng
ITCC
2003
IEEE
15 years 4 months ago
Fast Prefix Code Processing
As large main memory becomes more and more available at reasonable prices, processing speed of large data sets becomes more important than reducing main memory usage of internal d...
Renato Pajarola
VISUALIZATION
1996
IEEE
15 years 3 months ago
Real-time Slicing of Data Space
This can be a costly operation. When the data is arranged according to its three-dimensional coordinates, calculating the contour surfaces requires examining each data cell. Avoidi...
Roger Crawfis
BMCBI
2007
141views more  BMCBI 2007»
14 years 11 months ago
A novel approach to detect hot-spots in large-scale multivariate data
Background: Progressive advances in the measurement of complex multifactorial components of biological processes involving both spatial and temporal domains have made it difficult...
Jianhua Wu, Keith M. Kendrick, Jianfeng Feng
RSCTC
2004
Springer
138views Fuzzy Logic» more  RSCTC 2004»
15 years 4 months ago
A Parallel Approximate Rule Extracting Algorithm Based on the Improved Discernibility Matrix
A parallel rule-extracting algorithm based on the improved discernibility matrix [2] is proposed, by this way, a large amount of raw data can be divided into some small portions to...
Yong Liu, Congfu Xu, Yunhe Pan