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» Discovering Classification from Data of Multiple Sources
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RAID
2010
Springer
14 years 11 months ago
CANVuS: Context-Aware Network Vulnerability Scanning
Enterprise networks face a variety of threats including worms, viruses, and DDoS attacks. Development of effective defenses against these threats requires accurate inventories of n...
Yunjing Xu, Michael Bailey, Eric Vander Weele, Far...
SIGMETRICS
2009
ACM
157views Hardware» more  SIGMETRICS 2009»
15 years 8 months ago
Delay tolerant bulk data transfers on the internet
Many emerging scientific and industrial applications require transferring multiple Tbytes of data on a daily basis. Examples include pushing scientific data from particle accele...
Nikolaos Laoutaris, Georgios Smaragdakis, Pablo Ro...
BMCBI
2008
121views more  BMCBI 2008»
15 years 1 months ago
Microarray data mining using landmark gene-guided clustering
Background: Clustering is a popular data exploration technique widely used in microarray data analysis. Most conventional clustering algorithms, however, generate only one set of ...
Pankaj Chopra, Jaewoo Kang, Jiong Yang, HyungJun C...
124
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SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
15 years 3 months ago
Semi-Supervised Learning Based on Semiparametric Regularization
Semi-supervised learning plays an important role in the recent literature on machine learning and data mining and the developed semisupervised learning techniques have led to many...
Zhen Guo, Zhongfei (Mark) Zhang, Eric P. Xing, Chr...
MIDDLEWARE
2004
Springer
15 years 7 months ago
A grid service broker for scheduling distributed data-oriented applications on global grids
: The next generation of scientific experiments and studies, popularly called as e-Science, is carried out by large collaborations of researchers distributed around the world engag...
Srikumar Venugopal, Rajkumar Buyya, Lyle J. Winton