Overview
- Editors:
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William J. Tastle
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Ithaca College, Ithaca, USA
- Advanced research in eight major areas with accompanying theory, proofs where appropriate, and illustrated by practical example
- Readers will be able to immediately capture the meaning of the mathematics and apply them in their own work
- Practitioners will learn a new dimension of creative problem solving and analysis using tools and methods that were previously not available
- Includes supplementary material: sn.pub/extras
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Table of contents (8 chapters)
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- Massimo Buscema, Francis Newman, Giulia Massini, Enzo Grossi, William J. Tastle, Arthur K. Liu
Pages 1-23
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- Massimo Buscema, Roberto Passariello, Enzo Grossi, Giulia Massini, Francesco Fraioli, Goffredo Serra
Pages 25-61
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- Giulia Massini, Stefano Terzi, Massimo Buscema
Pages 63-74
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- Massimo Buscema, Marco Breda, Enzo Grossi, Luigi Catzola, Pier Luigi Sacco
Pages 75-139
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- Massimo Buscema, William J. Tastle, Stefano Terzi
Pages 141-182
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- Massimo Buscema, Pier Luigi Sacco
Pages 183-209
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- Massimo Buscema, Pier Luigi Sacco
Pages 211-230
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- Massimo Buscema, Pier Luigi Sacco, Enzo Grossi, Weldon A. Lodwick
Pages 231-275
About this book
This volume directly addresses the complexities involved in data mining and the development of new algorithms, built on an underlying theory consisting of linear and non-linear dynamics, data selection, filtering, and analysis, while including analytical projection and prediction. The results derived from the analysis are then further manipulated such that a visual representation is derived with an accompanying analysis. The book brings very current methods of analysis to the forefront of the discipline, provides researchers and practitioners the mathematical underpinning of the algorithms, and the non-specialist with a visual representation such that a valid understanding of the meaning of the adaptive system can be attained with careful attention to the visual representation. The book presents, as a collection of documents, sophisticated and meaningful methods that can be immediately understood and applied to various other disciplines of research. The content is composed of chapters addressing: An application of adaptive systems methodology in the field of post-radiation treatment involving brain volume differences in children;Â A new adaptive system for computer-aided diagnosis of the characterization of lung nodules;Â A new method of multi-dimensional scaling with minimal loss of information;Â A description of the semantics of point spaces with an application on the analysis of terrorist attacks in Afghanistan;Â The description of a new family of meta-classifiers;Â A new method of optimal informational sorting;Â A general method for the unsupervised adaptive classification for learning; and the presentation of two new theories, one in target diffusion and the other in twisting theory.
Editors and Affiliations
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Ithaca College, Ithaca, USA
William J. Tastle
