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Chapter and Conference Paper
Adopting Knowledge Discovery in Databases for Customer Relationship Management in Egyptian Public Banks
We propose a framework for studying the effect of KDD on CRM in the Egyptian banking sector. We believe that the KDD process and applications may perform a significant role in Egyptian banks to improve CRM, in...
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Chapter and Conference Paper
Combined Neural Network Models for Epidemiological Data: Modelling Heterogeneity and Reduction of Input Correlations
We consider an epidemiological dataset, concerned with predicting pulmonary response to air pollution. To gain more knowledge of nonlinear effects and interactions in the data, nonlinear neural network techniq...
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Chapter and Conference Paper
Feature selection for neural networks through functional links found by evolutionary computation
In this paper we describe different ways to select and transform features using evolutionary computation. The features are intended to serve as inputs to a feedforward network. The first way is the selection o...
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Chapter and Conference Paper
Evolutionary Air Traffic Flow Management for large 3D-problems
We present an evolutionary tool to solve free-route Air Traffic Flow Management problems within a three-dimensional air space [4]. This is the first evolutionary tool which solves free-route planning problems ...
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Chapter and Conference Paper
Orgy in the computer: Multi-parent reproduction in genetic algorithms
In this paper we investigate the phenomenon of multi-parent reproduction, i.e. we study recombination mechanisms where an arbitrary n>1 number of parents participate in creating children. In particular, we discus...
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Chapter and Conference Paper
Adaptive Scaling of Codebook Vectors
In this paper we introduce a vector quantization algorithm in which the codebook vectors are extended with a scale parameter to let them represent Gaussian functions. The means of these functions are determined b...
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Chapter and Conference Paper
A multiscale approach to image segmentation using Kohonen networks
An approach is developed to multiscale image segmentation, based on pixel classification by means of a Kohonen network. An image is described by assigning a feature pattern to each pixel, consisting of a scale...