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» Data streams: algorithms and applications
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NOSSDAV
2009
Springer
14 years 1 months ago
SLIPstream: scalable low-latency interactive perception on streaming data
A critical problem in implementing interactive perception applications is the considerable computational cost of current computer vision and machine learning algorithms, which typ...
Padmanabhan Pillai, Lily B. Mummert, Steven W. Sch...
ICPP
2008
IEEE
14 years 1 months ago
Resource Allocation for Distributed Streaming Applications
—We consider resource allocation for distributed streaming applications running in a grid environment, where continuously streaming data needs to be aggregated and processed to p...
Qian Zhu, Gagan Agrawal
KDD
2004
ACM
117views Data Mining» more  KDD 2004»
14 years 7 months ago
Systematic data selection to mine concept-drifting data streams
One major problem of existing methods to mine data streams is that it makes ad hoc choices to combine most recent data with some amount of old data to search the new hypothesis. T...
Wei Fan
EUROPAR
2006
Springer
13 years 10 months ago
Supporting a Real-Time Distributed Intrusion Detection Application on GATES
Increasingly, a number of applications across computer sciences and other science and engineering disciplines rely on, or can potentially benefit from, analysis and monitoring of d...
Qian Zhu, Liang Chen, Gagan Agrawal
GRC
2008
IEEE
13 years 6 months ago
MovStream: An Efficient Algorithm for Monitoring Clusters Evolving in Data Streams
Monitoring cluster evolution in data streams is a major research topic in data streams mining. Previous clustering methods for evolving data streams focus on global clustering res...
Liang Tang, Chang-jie Tang, Lei Duan, Chuan Li, Ye...