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Data Mining Applications Using Artificial Adaptive Systems

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Cover of 'Data Mining Applications Using Artificial Adaptive Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Assessing Post-Radiotherapy Treatment Involving Brain Volume Differences in Children: An Application of Adaptive Systems Methodology
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    Chapter 2 J-Net: An Adaptive System for Computer-Aided Diagnosis in Lung Nodule Characterization
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    Chapter 3 Population Algorithm: A New Method of Multi-Dimensional Scaling
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    Chapter 4 Semantics of Point Spaces Through the Topological Weighted Centroid and Other Mathematical Quantities: Theory and Applications
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    Chapter 5 Meta Net: A New Meta-Classifier Family
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    Chapter 6 Optimal Informational Sorting: The ACS-ULA Approach
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    Chapter 7 GUACAMOLE: A New Paradigm for Unsupervised Competitive Learning
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    Chapter 8 Spatiotemporal Mining: A Systematic Approach to Discrete Diffusion Models for Time and Space Extrapolation
Attention for Chapter 3: Population Algorithm: A New Method of Multi-Dimensional Scaling
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