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IS
2008
15 years 6 months ago
Continuous subspace clustering in streaming time series
Performing data mining tasks in streaming data is considered a challenging research direction, due to the continuous data evolution. In this work, we focus on the problem of clust...
Maria Kontaki, Apostolos N. Papadopoulos, Yannis M...
EMSOFT
2004
Springer
15 years 12 months ago
Reactive process networks
Data flow process networks are a good model of computation for streaming multimedia applications incorporating audio, video and/or graphics streams. Process networks are concurre...
Marc Geilen, Twan Basten
IEEECIT
2010
IEEE
15 years 5 months ago
Technical Research of Streaming Media Video Course Development Platform
—To solve the problem of streaming video courseware high production cost and low efficiency, the video recording and broadcasting system "Estone" gathering multimedia d...
Qingsheng Li, Jipeng Wang
PET
2012
Springer
13 years 9 months ago
Differentially Private Continual Monitoring of Heavy Hitters from Distributed Streams
We consider applications scenarios where an untrusted aggregator wishes to continually monitor the heavy-hitters across a set of distributed streams. Since each stream can contain ...
T.-H. Hubert Chan, Mingfei Li, Elaine Shi, Wenchan...
SDM
2007
SIAM
198views Data Mining» more  SDM 2007»
15 years 7 months ago
Learning from Time-Changing Data with Adaptive Windowing
We present a new approach for dealing with distribution change and concept drift when learning from data sequences that may vary with time. We use sliding windows whose size, inst...
Albert Bifet, Ricard Gavaldà