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ANOR
2006
133views more  ANOR 2006»
13 years 8 months ago
Horizon and stages in applications of stochastic programming in finance
To solve a decision problem under uncertainty via stochastic programming means to choose or to build a suitable stochastic programming model taking into account the nature of the r...
Marida Bertocchi, Vittorio Moriggia, Jitka Dupacov...
ESWA
2008
128views more  ESWA 2008»
13 years 8 months ago
Mining the data from a hyperheuristic approach using associative classification
Associative classification is a promising classification approach that utilises association rule mining to construct accurate classification models. In this paper, we investigate ...
Fadi A. Thabtah, Peter I. Cowling
IDA
2008
Springer
13 years 8 months ago
Symbolic methodology for numeric data mining
Currently statistical and artificial neural network methods dominate in data mining applications. Alternative relational (symbolic) data mining methods have shown their effectivene...
Boris Kovalerchuk, Evgenii Vityaev
FUIN
2006
107views more  FUIN 2006»
13 years 8 months ago
Learning Sunspot Classification
Sunspots are the subject of interest to many astronomers and solar physicists. Sunspot observation, analysis and classification form an important part of furthering the knowledge a...
Trung Thanh Nguyen, Claire P. Willis, Derek J. Pad...
CN
2007
135views more  CN 2007»
13 years 8 months ago
Handling feature interactions in the language for end system services
Since traditional telecommunication networks assume dumb terminals, there are rarely feature interactions involving end systems. However, in Internet telephony systems, such featur...
Xiaotao Wu, Henning Schulzrinne