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ISMIS
2009
Springer
15 years 4 months ago
Novelty Detection from Evolving Complex Data Streams with Time Windows
Abstract. Novelty detection in data stream mining denotes the identification of new or unknown situations in a stream of data elements flowing continuously in at rapid rate. This...
Michelangelo Ceci, Annalisa Appice, Corrado Loglis...
CCGRID
2005
IEEE
15 years 3 months ago
A distributed shared buffer space for data-intensive applications
Efficient memory allocation and data transfer for cluster-based data-intensive applications is a difficult task. Both changes in cluster interconnects and application workloads ...
Renaud Lachaize, Jorgen S. Hansen
CAMAD
2009
IEEE
15 years 2 months ago
Performance Analysis of Available Bandwidth Estimation Tools for Grid Networks
—Modern large-scale grid computing for processing advanced science and engineering applications relies on geographically distributed clusters. In such highly distributed environm...
Daniel M. Batista, Luciano Chaves, Nelson L. S. da...
ESANN
2006
14 years 11 months ago
An algorithm for fast and reliable ESOM learning
The training of Emergent Self-organizing Maps (ESOM ) with large datasets can be a computationally demanding task. Batch learning may be used to speed up training. It is demonstrat...
Mario Nöcker, Fabian Mörchen, Alfred Ult...
IJBIDM
2006
78views more  IJBIDM 2006»
14 years 9 months ago
Appraisal of companies with Bayesian networks
: Appraisal of companies is an important business activity. We mainly apply Bayesian networks for this classification task for Japanese electric company data. Firstly, few standard...
Priyantha Wijayatunga, Shigeru Mase, Masanori Naka...