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» Prediction on Spike Data Using Kernel Algorithms
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112
Voted
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
15 years 9 months ago
BGP-lens: patterns and anomalies in internet routing updates
The Border Gateway Protocol (BGP) is one of the fundamental computer communication protocols. Monitoring and mining BGP update messages can directly reveal the health and stabilit...
B. Aditya Prakash, Nicholas Valler, David Andersen...
SDM
2008
SIAM
129views Data Mining» more  SDM 2008»
15 years 4 months ago
Statistical Density Prediction in Traffic Networks
Recently, modern tracking methods started to allow capturing the position of massive numbers of moving objects. Given this information, it is possible to analyze and predict the t...
Hans-Peter Kriegel, Matthias Renz, Matthias Schube...
117
Voted
KDD
2010
ACM
235views Data Mining» more  KDD 2010»
15 years 6 months ago
New perspectives and methods in link prediction
This paper examines important factors for link prediction in networks and provides a general, high-performance framework for the prediction task. Link prediction in sparse network...
Ryan Lichtenwalter, Jake T. Lussier, Nitesh V. Cha...
134
Voted
ICAISC
2004
Springer
15 years 8 months ago
Semi-mechanistic Models for State-Estimation - Soft Sensor for Polymer Melt Index Prediction
Nonlinear state estimation is a useful approach to the monitoring of industrial (polymerization) processes. This paper investigates how this approach can be followed to the develop...
Balazs Feil, János Abonyi, Peter Pach, Sand...
CVPR
2004
IEEE
16 years 4 months ago
Model-Based Motion Clustering Using Boosted Mixture Modeling
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
Vladimir Pavlovic