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» Data Level Inference Detection in Database Systems
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DSN
2008
IEEE
15 years 7 months ago
Using likely program invariants to detect hardware errors
In the near future, hardware is expected to become increasingly vulnerable to faults due to continuously decreasing feature size. Software-level symptoms have previously been used...
Swarup Kumar Sahoo, Man-Lap Li, Pradeep Ramachandr...
79
Voted
HICSS
2006
IEEE
83views Biometrics» more  HICSS 2006»
15 years 6 months ago
Vigilance and Error Detection in an Automated Command and Control Environment
This study focused on improving vigilance performance through developing methods to arouse subjects to the possibility of errors in a data manipulation information warfare attack....
David P. Biros, Kent Marett, Brent T. Langhals
CHI
2007
ACM
16 years 1 months ago
Dynamic detection of novice vs. skilled use without a task model
If applications were able to detect a user's expertise, then software could automatically adapt to better match expertise. Detecting expertise is difficult because a user...
Amy Hurst, Scott E. Hudson, Jennifer Mankoff
130
Voted
KDD
2007
ACM
193views Data Mining» more  KDD 2007»
16 years 1 months ago
Joint optimization of wrapper generation and template detection
Many websites have large collections of pages generated dynamically from an underlying structured source like a database. The data of a category are typically encoded into similar...
Shuyi Zheng, Ruihua Song, Ji-Rong Wen, Di Wu
NAR
2002
138views more  NAR 2002»
15 years 10 days ago
The Protein Information Resource: an integrated public resource of functional annotation of proteins
The Protein Information Resource (PIR) serves as an integrated public resource of functional annotation of protein data to support genomic/proteomic research and scientific discov...
Cathy H. Wu, Hongzhan Huang, Leslie Arminski, Jorg...