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» Detecting Changes in Unlabeled Data Streams Using Martingale
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IPPS
2010
IEEE
13 years 5 months ago
Distributed monitoring of conditional entropy for anomaly detection in streams
In this work we consider the problem of monitoring information streams for anomalies in a scalable and efficient manner. We study the problem in the context of network streams wher...
Chrisil Arackaparambil, Sergey Bratus, Joshua Brod...
SIGMETRICS
2011
ACM
208views Hardware» more  SIGMETRICS 2011»
12 years 10 months ago
Structure-aware sampling on data streams
The massive data streams observed in network monitoring, data processing and scientific studies are typically too large to store. For many applications over such data, we must ob...
Edith Cohen, Graham Cormode, Nick G. Duffield
KDD
2009
ACM
224views Data Mining» more  KDD 2009»
14 years 6 days ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...
CHI
2009
ACM
14 years 8 months ago
Exploring video streams using slit-tear visualizations
Slit-tear visualizations allow users to selectively visualize pixel paths in a video scene. The slit-tear visualization technique is a generalization of the traditional photograph...
Anthony Tang, Saul Greenberg, Sidney Fels
INFOCOM
2006
IEEE
14 years 1 months ago
Reverse Hashing for High-Speed Network Monitoring: Algorithms, Evaluation, and Applications
— A key function for network traffic monitoring and analysis is the ability to perform aggregate queries over multiple data streams. Change detection is an important primitive w...
Robert T. Schweller, Zhichun Li, Yan Chen, Yan Gao...