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» Automatic Metadata Generation using Associative Networks
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116
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IJCBDD
2011
112views more  IJCBDD 2011»
14 years 7 months ago
A novel network model identified a 13-gene lung cancer prognostic signature
: This study presents a novel network methodology to identify prognostic gene signatures. Implication networks based on prediction logic are used to construct genome-wide coexpress...
Nancy Lan Guo, Ying-Wooi Wan, Swetha Bose, James D...
WISEC
2010
ACM
15 years 7 months ago
Automating the injection of believable decoys to detect snooping
We propose a novel trap-based architecture for enterprise networks that detects “silent” attackers who are eavesdropping network traffic. The primary contributions of our work...
Brian M. Bowen, Vasileios P. Kemerlis, Pratap V. P...
CCS
2008
ACM
15 years 2 months ago
Tupni: automatic reverse engineering of input formats
Recent work has established the importance of automatic reverse engineering of protocol or file format specifications. However, the formats reverse engineered by previous tools ha...
Weidong Cui, Marcus Peinado, Karl Chen, Helen J. W...
141
Voted
SPIESR
2003
230views Database» more  SPIESR 2003»
15 years 1 months ago
Bridging the semantic gap in sports
One of the major challenges facing current media management systems and related applications is the so-called ‘‘semantic gap’’ between the rich meaning that a user desires...
Baoxin Li, James H. Errico, Hao Pan, M. Ibrahim Se...
ICDM
2003
IEEE
104views Data Mining» more  ICDM 2003»
15 years 5 months ago
Structure Search and Stability Enhancement of Bayesian Networks
Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...
Hanchuan Peng, Chris H. Q. Ding