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» Exploiting N-Gram Analysis to Predict Operator Sequences
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BMCBI
2004
208views more  BMCBI 2004»
13 years 6 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
ASPLOS
2010
ACM
14 years 1 months ago
Request behavior variations
A large number of user requests execute (often concurrently) within a server system. A single request may exhibit fluctuating hardware characteristics (such as instruction comple...
Kai Shen
CCS
2010
ACM
13 years 6 months ago
AccessMiner: using system-centric models for malware protection
Models based on system calls are a popular and common approach to characterize the run-time behavior of programs. For example, system calls are used by intrusion detection systems...
Andrea Lanzi, Davide Balzarotti, Christopher Krueg...
ICDM
2009
IEEE
148views Data Mining» more  ICDM 2009»
14 years 1 months ago
Online System Problem Detection by Mining Patterns of Console Logs
Abstract—We describe a novel application of using data mining and statistical learning methods to automatically monitor and detect abnormal execution traces from console logs in ...
Wei Xu, Ling Huang, Armando Fox, David Patterson, ...
CAV
2010
Springer
239views Hardware» more  CAV 2010»
13 years 8 months ago
Universal Causality Graphs: A Precise Happens-Before Model for Detecting Bugs in Concurrent Programs
Triggering errors in concurrent programs is a notoriously difficult task. A key reason for this is the behavioral complexity resulting from the large number of interleavings of op...
Vineet Kahlon, Chao Wang