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ICDM
2008
IEEE
142views Data Mining» more  ICDM 2008»
14 years 2 months ago
Clustering Events on Streams Using Complex Context Information
Monitoring applications play an increasingly important role in many domains. They detect events in monitored systems and take actions such as invoke a program or notify an adminis...
YongChul Kwon, Wing Yee Lee, Magdalena Balazinska,...
ICDCS
2006
IEEE
14 years 1 months ago
Adaptive Control of Extreme-scale Stream Processing Systems
Abstract— Distributed stream processing systems offer a highly scalable and dynamically configurable platform for time-critical applications ranging from real-time, exploratory ...
Lisa Amini, Navendu Jain, Anshul Sehgal, Jeremy Si...
ICDM
2010
IEEE
142views Data Mining» more  ICDM 2010»
13 years 5 months ago
Causal Discovery from Streaming Features
In this paper, we study a new research problem of causal discovery from streaming features. A unique characteristic of streaming features is that not all features can be available ...
Kui Yu, Xindong Wu, Hao Wang, Wei Ding
EDBT
2010
ACM
188views Database» more  EDBT 2010»
13 years 11 months ago
DEDUCE: at the intersection of MapReduce and stream processing
MapReduce and stream processing are two emerging, but different, paradigms for analyzing, processing and making sense of large volumes of modern day data. While MapReduce offers t...
Vibhore Kumar, Henrique Andrade, Bugra Gedik, Kun-...
SIGMOD
2004
ACM
92views Database» more  SIGMOD 2004»
14 years 7 months ago
Online Maintenance of Very Large Random Samples
Random sampling is one of the most fundamental data management tools available. However, most current research involving sampling considers the problem of how to use a sample, and...
Chris Jermaine, Abhijit Pol, Subramanian Arumugam