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Extending and querying data stream's summaries
In the last few years, a new environment, in which data have to be collected and processed instantly when arriving, has emerged. To handle the large volume of data... -
AnKLe: Detecting Attacks in Large Scale Systems via Information Divergence
In this paper, we consider the setting of large scale distributed systems, in which each node needs to quickly process a huge amount of data received in the form of a... -
Sketch *-metric: Comparing Data Streams via Sketching
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Towards Visual Sedimentation
This Poster receive the Best Poster award from the IEEE INFOVIS committee. -
Sketch -metric: Comparing Data Streams via Sketching
International audience -
AnKLe: Detecting Attacks in Large Scale Systems via Information Divergence
International audience -
Uniform Node Sampling Service Robust against Collusions of Malicious Nodes
International audience -
Visual Sedimentation
International audience -
Data stream management for systems monitoring
Due to the popularization of technology, non-expert people can now use more and more advanced devices and applications. Such systems produce data streams as well as... -
A Stream-Based Semi-Supervised Active Learning Approach for Document Classifi...
International audience -
A sliced inverse regression approach for data stream
[Departement_IRSTEA]Territoires [TR1_IRSTEA]DTAM [Axe_IRSTEA]DTAM-QT2-ADAPTATION -
On the Power of the Adversary to Solve the Node Sampling Problem
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Sketch *-metric: Comparing Data Streams via Sketching
International audience -
Revisiting Formal Ordering in Data Stream Querying
International audience -
A Distributed Information Divergence Estimation over Data Streams
International audience
