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» Canonical Data Structure for Interval Probe Graphs
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WWW
2008
ACM
14 years 5 months ago
Scaling RDF with time
The World Wide Web Consortium's RDF standard primarily consists of (subject,property,object) triples that specify the value that a given subject has for a given property. How...
Andrea Pugliese, Octavian Udrea, V. S. Subrahmania...
ICSE
2001
IEEE-ACM
13 years 9 months ago
Encoding Program Executions
Dynamic analysis is based on collecting data as the program runs. However, raw traces tend to be too voluminous and too unstructured to be used directly for visualization and unde...
Steven P. Reiss, Manos Renieris
AMAI
2004
Springer
13 years 10 months ago
Using the Central Limit Theorem for Belief Network Learning
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
Ian Davidson, Minoo Aminian
ISI
2006
Springer
13 years 4 months ago
An Embedded Bayesian Network Hidden Markov Model for Digital Forensics
In the paper we combine a Bayesian Network model for encoding forensic evidence during a given time interval with a Hidden Markov Model (EBN-HMM) for tracking and predicting the de...
Olivier Y. de Vel, Nianjun Liu, Terry Caelli, Tib&...
ICDCS
2009
IEEE
14 years 2 months ago
Q-Tree: A Multi-Attribute Based Range Query Solution for Tele-immersive Framework
Users and administrators of large distributed systems are frequently in need of monitoring and management of its various components, data items and resources. Though there exist s...
Md. Ahsan Arefin, Md. Yusuf Sarwar Uddin, Indranil...