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» Privacy-Preserving k-NN for Small and Large Data Sets
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ICDM
2010
IEEE
208views Data Mining» more  ICDM 2010»
14 years 9 months ago
Bonsai: Growing Interesting Small Trees
Graphs are increasingly used to model a variety of loosely structured data such as biological or social networks and entityrelationships. Given this profusion of large-scale graph ...
Stephan Seufert, Srikanta J. Bedathur, Juliá...
BMCBI
2005
163views more  BMCBI 2005»
14 years 11 months ago
Rank-invariant resampling based estimation of false discovery rate for analysis of small sample microarray data
Background: The evaluation of statistical significance has become a critical process in identifying differentially expressed genes in microarray studies. Classical p-value adjustm...
Nitin Jain, HyungJun Cho, Michael O'Connell, Jae K...
VLDB
2004
ACM
121views Database» more  VLDB 2004»
15 years 4 months ago
An Automatic Data Grabber for Large Web Sites
We demonstrate a system to automatically grab data from data intensive web sites. The system first infers a model that describes at the intensional level the web site as a collec...
Valter Crescenzi, Giansalvatore Mecca, Paolo Meria...
ACL
2009
14 years 9 months ago
Efficient Inference of CRFs for Large-Scale Natural Language Data
This paper presents an efficient inference algorithm of conditional random fields (CRFs) for large-scale data. Our key idea is to decompose the output label state into an active s...
Minwoo Jeong, Chin-Yew Lin, Gary Geunbae Lee
CCS
2009
ACM
15 years 6 months ago
Privacy-preserving genomic computation through program specialization
In this paper, we present a new approach to performing important classes of genomic computations (e.g., search for homologous genes) that makes a significant step towards privacy...
Rui Wang, XiaoFeng Wang, Zhou Li, Haixu Tang, Mich...