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KDD
2003
ACM
156views Data Mining» more  KDD 2003»
16 years 7 months ago
Mining distance-based outliers in near linear time with randomization and a simple pruning rule
Defining outliers by their distance to neighboring examples is a popular approach to finding unusual examples in a data set. Recently, much work has been conducted with the goal o...
Stephen D. Bay, Mark Schwabacher
CHI
2010
ACM
16 years 1 months ago
Characterizing debate performance via aggregated twitter sentiment
Television broadcasters are beginning to combine social micro-blogging systems such as Twitter with television to create social video experiences around events. We looked at one s...
Nicholas Diakopoulos, David A. Shamma
ICIW
2009
IEEE
16 years 1 months ago
SS-IDS: Statistical Signature Based IDS
Security of web servers has become a sensitive subject today. Prediction of normal and abnormal request is problematic due to large number of false alarms in many anomaly based In...
Payas Gupta, Chedy Raïssi, Gérard Dray...
DSN
2008
IEEE
16 years 29 days ago
Coverage of a microarchitecture-level fault check regimen in a superscalar processor
Conventional processor fault tolerance based on time/space redundancy is robust but prohibitively expensive for commodity processors. This paper explores an unconventional approac...
Vimal K. Reddy, Eric Rotenberg
ICASSP
2008
IEEE
16 years 29 days ago
Nested support vector machines
The one-class and cost-sensitive support vector machines (SVMs) are state-of-the-art machine learning methods for estimating density level sets and solving weighted classificatio...
Gyemin Lee, Clayton Scott