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» Mining data streams with periodically changing distributions
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CSFW
1996
IEEE
14 years 29 days ago
An Immunological Approach to Change Detection: Theoretical Results
: This paper examines some of the theoretical foundations of the distributable change detection method introduced by Forrest et al. in [10], including fundamental bounds on some of...
Patrik D'haeseleer
ML
2010
ACM
142views Machine Learning» more  ML 2010»
13 years 7 months ago
Fast adaptive algorithms for abrupt change detection
We propose two fast algorithms for abrupt change detection in streaming data that can operate on arbitrary unknown data distributions before and after the change. The first algor...
Daniel Nikovski, Ankur Jain
DSN
2006
IEEE
14 years 14 days ago
Empirical and Analytical Evaluation of Systems with Multiple Unreliable Servers
We construct, analyze and solve models of systems where a number of servers offer services to an incoming stream of demands. Each server goes through alternating periods of being ...
Jennie Palmer, Isi Mitrani
ICDE
2009
IEEE
202views Database» more  ICDE 2009»
14 years 10 months ago
Tracking High Quality Clusters over Uncertain Data Streams
Recently, data mining over uncertain data streams has attracted a lot of attentions because of the widely existed imprecise data generated from a variety of streaming applications....
Chen Zhang, Ming Gao, Aoying Zhou
INFOCOM
2005
IEEE
14 years 2 months ago
CoolStreaming/DONet: a data-driven overlay network for peer-to-peer live media streaming
— This paper presents DONet, a Data-driven Overlay Network for live media streaming. The core operations in DONet are very simple: every node periodically exchanges data availabi...
Xinyan Zhang, Jiangchuan Liu, Bo Li, Tak-Shing Pet...