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» A Kernel Approach to Comparing Distributions
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150
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ICDM
2010
IEEE
168views Data Mining» more  ICDM 2010»
15 years 1 months ago
Anomaly Detection Using an Ensemble of Feature Models
We present a new approach to semi-supervised anomaly detection. Given a set of training examples believed to come from the same distribution or class, the task is to learn a model ...
Keith Noto, Carla E. Brodley, Donna K. Slonim
CASES
2007
ACM
15 years 8 months ago
Rethinking custom ISE identification: a new processor-agnostic method
The last decade has witnessed the emergence of the Application Specific Instruction-set Processor (ASIP) as a viable platform for embedded systems. Extensible ASIPs allow the user...
Ajay K. Verma, Philip Brisk, Paolo Ienne
153
Voted
ACSAC
2010
IEEE
15 years 2 months ago
Conficker and beyond: a large-scale empirical study
Conficker [26] is the most recent widespread, well-known worm/bot. According to several reports [16, 28], it has infected about 7 million to 15 million hosts and the victims are s...
Seungwon Shin, Guofei Gu
PROMISE
2010
14 years 10 months ago
Exploiting count spectra for Bayesian fault localization
Background: Automated diagnosis of software defects can drastically increase debugging efficiency, improving reliability and time-to-market. Current, low-cost, automatic fault dia...
Rui Abreu, Alberto González-Sanchez, Arjan ...
KDD
2009
ACM
163views Data Mining» more  KDD 2009»
16 years 4 months ago
Large-scale graph mining using backbone refinement classes
We present a new approach to large-scale graph mining based on so-called backbone refinement classes. The method efficiently mines tree-shaped subgraph descriptors under minimum f...
Andreas Maunz, Christoph Helma, Stefan Kramer