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» A Framework for Clustering Massive-Domain Data Streams
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ICDT
2009
ACM
148views Database» more  ICDT 2009»
14 years 9 months ago
Tight results for clustering and summarizing data streams
In this paper we investigate algorithms and lower bounds for summarization problems over a single pass data stream. In particular we focus on histogram construction and K-center c...
Sudipto Guha
CCGRID
2006
IEEE
14 years 2 months ago
Calder Query Grid Service: Insights and Experimental Evaluation
We have architected and evaluated a new kind of data resource, one that is composed of a logical collection of ephemeral data streams that could be viewed as a collection of publi...
Nithya N. Vijayakumar, Ying Liu, Beth Plale
SIGMOD
2004
ACM
209views Database» more  SIGMOD 2004»
14 years 8 months ago
MAIDS: Mining Alarming Incidents from Data Streams
Real-time surveillance systems, network and telecommunication systems, and other dynamic processes often generate tremendous (potentially infinite) volume of stream data. Effectiv...
Y. Dora Cai, David Clutter, Greg Pape, Jiawei Han,...
WWW
2009
ACM
14 years 3 months ago
A general framework for adaptive and online detection of web attacks
Detection of web attacks is an important issue in current defense-in-depth security framework. In this paper, we propose a novel general framework for adaptive and online detectio...
Wei Wang 0012, Florent Masseglia, Thomas Guyet, Re...
SDM
2009
SIAM
144views Data Mining» more  SDM 2009»
14 years 5 months ago
On Segment-Based Stream Modeling and Its Applications.
The primary constraint in the effective mining of data streams is the large volume of data which must be processed in real time. In many cases, it is desirable to store a summary...
Charu C. Aggarwal