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ICDM
2007
IEEE
153views Data Mining» more  ICDM 2007»
16 years 28 days ago
HSN-PAM: Finding Hierarchical Probabilistic Groups from Large-Scale Networks
Real-world social networks are often hierarchical, reflecting the fact that some communities are composed of a few smaller, sub-communities. This paper describes a hierarchical B...
Haizheng Zhang, Wei Li, Xuerui Wang, C. Lee Giles,...
APBC
2004
15 years 8 months ago
Representing Experimental Biological Data in Metabolic Networks
This paper describes a novel approach to representing experimental biological data in metabolic networks. The aim is to allow biologists to visualise and analyse the data in the c...
Tim Dwyer, Hardy Rolletschek, Falk Schreiber
VIZSEC
2007
Springer
16 years 22 days ago
Visualizing Network Security Events Using Compound Glyphs from a Service-Oriented Perspective
ct Network security is the complicated field of controlling access within a computer network. One of the difficulties in network security is detecting the presence, severity, and ...
Jason Pearlman, Penny Rheingans
ESANN
2004
15 years 8 months ago
Dynamic functional-link neural networks genetically evolved applied to system identification
: The contribution concerns the design of a generalised functional-link neural network with internal dynamics and its applicability to system identification by means of multi-input...
Teodor Marcu, Birgit Köppen-Seliger
ESANN
2007
15 years 8 months ago
A supervised learning approach based on STDP and polychronization in spiking neuron networks
We propose a network model of spiking neurons, without preimposed topology and driven by STDP (Spike-Time-Dependent Plasticity), a temporal Hebbian unsupervised learning mode, biol...
Hélène Paugam-Moisy, Régis Ma...