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KDD
2009
ACM
230views Data Mining» more  KDD 2009»
15 years 2 months ago
Grouped graphical Granger modeling methods for temporal causal modeling
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Ros...
CIKM
2005
Springer
14 years 12 months ago
DIST: a distributed spatio-temporal index structure for sensor networks
We consider the general problem of tracking moving objects in sensor networks. The specific application we consider is that of tracking a chemical plume moving over a large infra...
Anand Meka, Ambuj K. Singh
ATAL
2008
Springer
14 years 12 months ago
An adaptive probabilistic trust model and its evaluation
In open settings, the participants are autonomous and there is no central authority to ensure the felicity of their interactions. When agents interact in such settings, each relie...
Chung-Wei Hang, Yonghong Wang, Munindar P. Singh
SIGMOD
2009
ACM
180views Database» more  SIGMOD 2009»
15 years 10 months ago
Indexing correlated probabilistic databases
With large amounts of correlated probabilistic data being generated in a wide range of application domains including sensor networks, information extraction, event detection etc.,...
Bhargav Kanagal, Amol Deshpande
UAI
2008
14 years 11 months ago
Efficient Inference in Persistent Dynamic Bayesian Networks
Numerous temporal inference tasks such as fault monitoring and anomaly detection exhibit a persistence property: for example, if something breaks, it stays broken until an interve...
Tomás Singliar, Denver Dash