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IEEECIT
2010
IEEE
14 years 11 months ago
Learning Autonomic Security Reconfiguration Policies
Abstract--We explore the idea of applying machine learning techniques to automatically infer risk-adaptive policies to reconfigure a network security architecture when the context ...
Juan E. Tapiador, John A. Clark
SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
15 years 3 months ago
Learning Markov Network Structure using Few Independence Tests
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
Parichey Gandhi, Facundo Bromberg, Dimitris Margar...
BMCBI
2006
190views more  BMCBI 2006»
15 years 1 months ago
VANTED: A system for advanced data analysis and visualization in the context of biological networks
Background: Recent advances with high-throughput methods in life-science research have increased the need for automatized data analysis and visual exploration techniques. Sophisti...
Björn H. Junker, Christian Klukas, Falk Schre...
BMCBI
2010
139views more  BMCBI 2010»
15 years 1 months ago
A highly efficient multi-core algorithm for clustering extremely large datasets
Background: In recent years, the demand for computational power in computational biology has increased due to rapidly growing data sets from microarray and other high-throughput t...
Johann M. Kraus, Hans A. Kestler
AINA
2003
IEEE
15 years 5 months ago
Formal Verification of Condition Data Flow Diagrams for Assurance of Correct Network Protocols
Condition Data Flow Diagrams (CDFDs) are a formalized notation resulting from the integration of Yourdon Data Flow Diagrams, Petri Nets, and pre-post notation. They are used in th...
Shaoying Liu