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» Decision making in very large networks
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SGAI
2009
Springer
14 years 3 months ago
Parallel Rule Induction with Information Theoretic Pre-Pruning
In a world where data is captured on a large scale the major challenge for data mining algorithms is to be able to scale up to large datasets. There are two main approaches to indu...
Frederic T. Stahl, Max Bramer, Mo Adda
IJCNN
2008
IEEE
14 years 3 months ago
Including multi-objective abilities in the Hybrid Intelligent Suite for decision support
— Hybrid intelligent systems (HIS) are very successful in tackling problems comprising of more than one distinct computational subtask. For instance, decision-making problems are...
Diogo Ferreira Pacheco, Flávio R. S. Olivei...
POLICY
2004
Springer
14 years 2 months ago
DecisionQoS: An Adaptive, Self-Evolving QoS Arbitration Module for Storage Systems
As a consequence of the current trend towards consolidating computing, storage and networking infrastructures into large centralized data centers, applications compete for shared ...
Sandeep Uttamchandani, Guillermo A. Alvarez, Gul A...
QEST
2010
IEEE
13 years 6 months ago
Automating the Mean-Field Method for Large Dynamic Gossip Networks
Abstract--We investigate an abstraction method, called meanfield method, for the performance evaluation of dynamic networks with pairwise communication between nodes. It allows us ...
Rena Bakhshi, Jörg Endrullis, Stefan Endrulli...
SBRN
2008
IEEE
14 years 3 months ago
Using a Probabilistic Neural Network for a Large Multi-label Problem
The automation of the categorization of economic activities from business descriptions in free text format is a huge challenge for the Brazilian governmental administration in the...
Elias Oliveira, Patrick Marques Ciarelli, Alberto ...