Sciweavers

124 search results - page 5 / 25
» Adaptively Detecting Aggregation Bursts in Data Streams
Sort
View
HPDC
2005
IEEE
14 years 1 months ago
Adaptive data block scheduling for parallel TCP streams
Applications that use parallel TCP streams to increase throughput must multiplex and demultiplex data blocks over a set of TCP streams transmitting on one or more network paths. W...
Thomas J. Hacker, Brian D. Noble, Brian D. Athey
SDM
2012
SIAM
452views Data Mining» more  SDM 2012»
11 years 10 months ago
Density-based Projected Clustering over High Dimensional Data Streams
Clustering of high dimensional data streams is an important problem in many application domains, a prominent example being network monitoring. Several approaches have been lately ...
Irene Ntoutsi, Arthur Zimek, Themis Palpanas, Peer...
AUSDM
2007
Springer
110views Data Mining» more  AUSDM 2007»
14 years 1 months ago
Adaptive Spike Detection for Resilient Data Stream Mining
Automated adversarial detection systems can fail when under attack by adversaries. As part of a resilient data stream mining system to reduce the possibility of such failure, adap...
Clifton Phua, Kate Smith-Miles, Vincent C. S. Lee,...
ICDE
2009
IEEE
179views Database» more  ICDE 2009»
14 years 2 months ago
Self-Tuning, Bandwidth-Aware Monitoring for Dynamic Data Streams
— We present SMART, a self-tuning, bandwidth-aware monitoring system that maximizes result precision of continuous aggregate queries over dynamic data streams. While prior approa...
Navendu Jain, Praveen Yalagandula, Michael Dahlin,...
IPPS
2000
IEEE
13 years 12 months ago
ACDS: Adapting Computational Data Streams for High Performance
Data-intensive, interactive applications are an important class of metacomputing (Grid) applications. They are characterized by large, time-varying data flows between data provid...
Carsten Isert, Karsten Schwan