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SIGMOD
2007
ACM
176views Database» more  SIGMOD 2007»
16 years 6 months ago
URank: formulation and efficient evaluation of top-k queries in uncertain databases
Top-k processing in uncertain databases is semantically and computationally different from traditional top-k processing. The interplay between query scores and data uncertainty ma...
Mohamed A. Soliman, Ihab F. Ilyas, Kevin Chen-Chua...
COMPSAC
2008
IEEE
16 years 27 days ago
Measuring Network Security Using Bayesian Network-Based Attack Graphs
Given the increasing dependence of our societies on information systems, the overall security of these systems should be measured and improved. Existing work generally focuses on ...
Marcel Frigault, Lingyu Wang
ECRTS
2008
IEEE
16 years 26 days ago
Backlog Estimation and Management for Real-Time Data Services
Real-time data services can benefit data-intensive real-time applications, e.g., e-commerce, via timely transaction processing using fresh data, e.g., the current stock prices. T...
Kyoung-Don Kang, Jisu Oh, Yan Zhou
APN
2007
Springer
16 years 18 days ago
Markov Decision Petri Net and Markov Decision Well-Formed Net Formalisms
In this work, we propose two high-level formalisms, Markov Decision Petri Nets (MDPNs) and Markov Decision Well-formed Nets (MDWNs), useful for the modeling and analysis of distrib...
Marco Beccuti, Giuliana Franceschinis, Serge Hadda...
GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
16 years 17 days ago
Meta-optimizing semantic evolutionary search
I present MOSES (meta-optimizing semantic evolutionary search), a new probabilistic modeling (estimation of distribution) approach to program evolution. Distributions are not esti...
Moshe Looks