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» Adaptively Detecting Aggregation Bursts in Data Streams
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VLDB
2004
ACM
128views Database» more  VLDB 2004»
14 years 7 months ago
Operator scheduling in data stream systems
In many applications involving continuous data streams, data arrival is bursty and data rate fluctuates over time. Systems that seek to give rapid or realtime query responses in su...
Brian Babcock, Shivnath Babu, Mayur Datar, Rajeev ...
GLOBECOM
2006
IEEE
14 years 1 months ago
Adaptive Forward Error Correction for Interactive Streaming Over the Internet
Abstract— Despite the emergence of voice over IP and videoconferencing services, recent studies have shown that the Internet still may not provide acceptable quality for interact...
Fernando Silveira Filho, Edson H. Watanabe, Edmund...
PET
2012
Springer
11 years 10 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...
SIGMOD
2006
ACM
150views Database» more  SIGMOD 2006»
14 years 7 months ago
On-the-fly sharing for streamed aggregation
Data streaming systems are becoming essential for monitoring applications such as financial analysis and network intrusion detection. These systems often have to process many simi...
Sailesh Krishnamurthy, Chung Wu, Michael J. Frankl...
CICLING
2010
Springer
14 years 2 months ago
Towards Automatic Detection and Tracking of Topic Change
We present an approach for automatic detection of topic change. Our approach is based on the analysis of statistical features of topics in time-sliced corpora and their dynamics ov...
Florian Holz, Sven Teresniak