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KDD
2012
ACM
201views Data Mining» more  KDD 2012»
11 years 10 months ago
Learning from crowds in the presence of schools of thought
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
Yuandong Tian, Jun Zhu
SIGMOD
2009
ACM
202views Database» more  SIGMOD 2009»
14 years 8 months ago
ZStream: a cost-based query processor for adaptively detecting composite events
Composite (or Complex) event processing (CEP) systems search sequences of incoming events for occurrences of userspecified event patterns. Recently, they have gained more attentio...
Yuan Mei, Samuel Madden
KDD
2009
ACM
181views Data Mining» more  KDD 2009»
14 years 2 months ago
An exploration of climate data using complex networks
To discover patterns in historical data, climate scientists have applied various clustering methods with the goal of identifying regions that share some common climatological beha...
Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. ...
LCN
2008
IEEE
14 years 2 months ago
WBest: A bandwidth estimation tool for IEEE 802.11 wireless networks
—Bandwidth estimation techniques seek to provide an accurate estimation of available bandwidth such that network applications can adjust their behavior accordingly. However, most...
Mingzhe Li, Mark Claypool, Robert E. Kinicki
SOFSEM
2007
Springer
14 years 1 months ago
Games, Time, and Probability: Graph Models for System Design and Analysis
Digital technology is increasingly deployed in safety-critical situations. This calls for systematic design and verification methodologies that can cope with three major sources o...
Thomas A. Henzinger