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KDD
2007
ACM
141views Data Mining» more  KDD 2007»
16 years 7 months ago
Detecting anomalous records in categorical datasets
We consider the problem of detecting anomalies in high arity categorical datasets. In most applications, anomalies are defined as data points that are 'abnormal'. Quite ...
Kaustav Das, Jeff G. Schneider
KDD
2004
ACM
154views Data Mining» more  KDD 2004»
16 years 7 months ago
Diagnosing extrapolation: tree-based density estimation
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
Giles Hooker
EUROSYS
2006
ACM
16 years 3 months ago
Using queries for distributed monitoring and forensics
Distributed systems are hard to build, profile, debug, and test. Monitoring a distributed system – to detect and analyze bugs, test for regressions, identify fault-tolerance pr...
Atul Singh, Petros Maniatis, Timothy Roscoe, Peter...
PETRA
2009
ACM
16 years 1 months ago
Ambient kitchen: designing situated services using a high fidelity prototyping environment
The Ambient Kitchen is a high fidelity prototype for exploring the design of pervasive computing algorithms and applications for everyday environments. The environment integrates ...
Patrick Olivier, Guangyou Xu, Andrew Monk, Jesse H...
CODES
2007
IEEE
16 years 1 months ago
Ensuring secure program execution in multiprocessor embedded systems: a case study
Multiprocessor SoCs are increasingly deployed in embedded systems with little or no security features built in. Code Injection attacks are one of the most commonly encountered sec...
Krutartha Patel, Sridevan Parameswaran, Seng Lin S...