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ICML
2005
IEEE
16 years 5 months ago
A martingale framework for concept change detection in time-varying data streams
In a data streaming setting, data points are observed one by one. The concepts to be learned from the data points may change infinitely often as the data is streaming. In this pap...
Shen-Shyang Ho
ICDM
2009
IEEE
148views Data Mining» more  ICDM 2009»
15 years 11 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, ...
DATE
2008
IEEE
122views Hardware» more  DATE 2008»
15 years 11 months ago
Simulation-Directed Invariant Mining for Software Verification
With the advance of SAT solvers, transforming a software program to a propositional formula has generated much interest for bounded model checking of software in recent years. How...
Xueqi Cheng, Michael S. Hsiao
ALT
2009
Springer
15 years 7 months ago
Learning and Domain Adaptation
Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...
Yishay Mansour
KDD
2005
ACM
109views Data Mining» more  KDD 2005»
16 years 4 months ago
Formulating distance functions via the kernel trick
Tasks of data mining and information retrieval depend on a good distance function for measuring similarity between data instances. The most effective distance function must be for...
Gang Wu, Edward Y. Chang, Navneet Panda