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» A Survey of Distributed and Data Intensive CBR Systems
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DCAI
2008
13 years 6 months ago
A Survey of Distributed and Data Intensive CBR Systems
Case-Based Reasoning is a methodology that uses information that has been considered as valid in previous situations to solve new problems. That use of the information allows CBR s...
Aitor Mata
SCAI
2008
13 years 6 months ago
CBR for Advice Giving in a Data-Intensive Environment
Reusing past experiences by reasoning from past cases poses particular problems when the input to case retrieval comes from large amounts of online data. Volve has developed a syst...
Agnar Aamodt
DCAI
2008
13 years 6 months ago
Solving the Oil Spill Problem Using a Combination of CBR and a Summarization of SOM Ensembles
. In this paper, a forecasting system is presented. It predicts the presence of oil slicks in a certain area of the open sea after an oil spill using Case-Based Reasoning methodolo...
Aitor Mata, Emilio Corchado, Bruno Baruque
ICECCS
1995
IEEE
114views Hardware» more  ICECCS 1995»
13 years 8 months ago
A performance oriented design methodology for large-scale distributed data intensive information systems
The Earth Observing System (EOS) Data and Information System (EOSDIS) is perhaps one of the most important examples of a large-scale, geographicallydistributed, and data-intensive...
Daniel A. Menascé, Hassan Gomaa, Larry Kers...
CLADE
2004
IEEE
13 years 8 months ago
Support for Data-Intensive, Variable-Granularity Grid Applications via Distributed File System Virtualization - A Case Study of
A key challenge faced by large-scale, distributed applications in Grid environments is efficient, seamless data management. In particular, for applications that can benefit from a...
Jithendar Paladugula, Ming Zhao 0002, Renato J. O....