Data Mining Applications Using Artificial Adaptive Systems

1. Front Matter

   Pages i-vii

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2. Assessing Post-Radiotherapy Treatment Involving Brain Volume Differences in Children: An Application of Adaptive Systems Methodology

   • Massimo Buscema, Francis Newman, Giulia Massini, Enzo Grossi, William J. Tastle, Arthur K. Liu

   Pages 1-23

3. J-Net: An Adaptive System for Computer-Aided Diagnosis in Lung Nodule Characterization

   • Massimo Buscema, Roberto Passariello, Enzo Grossi, Giulia Massini, Francesco Fraioli, Goffredo Serra

   Pages 25-61

4. Population Algorithm: A New Method of Multi-Dimensional Scaling

   • Giulia Massini, Stefano Terzi, Massimo Buscema

   Pages 63-74

5. Semantics of Point Spaces Through the Topological Weighted Centroid and Other Mathematical Quantities: Theory and Applications

   • Massimo Buscema, Marco Breda, Enzo Grossi, Luigi Catzola, Pier Luigi Sacco

   Pages 75-139

6. Meta Net: A New Meta-Classifier Family

   • Massimo Buscema, William J. Tastle, Stefano Terzi

   Pages 141-182

7. Optimal Informational Sorting: The ACS-ULA Approach

   • Massimo Buscema, Pier Luigi Sacco

   Pages 183-209

8. GUACAMOLE: A New Paradigm for Unsupervised Competitive Learning

   • Massimo Buscema, Pier Luigi Sacco

   Pages 211-230

9. Spatiotemporal Mining: A Systematic Approach to Discrete Diffusion Models for Time and Space Extrapolation

   • Massimo Buscema, Pier Luigi Sacco, Enzo Grossi, Weldon A. Lodwick

   Pages 231-275

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; A new adaptive system for computer-aided diagnosis of the characterization of lung nodules; A new method of multi-dimensional scaling with minimal loss of information; A description of the semantics of point spaces with an application on the analysis of terrorist attacks in Afghanistan; The description of a new family of meta-classifiers; A new method of optimal informational sorting; 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.

• Data Mining
• Spatiotemporal mining
• Unsupervised learning
• adaptive systems
• linear dynamics
• multi-dimensional scaling
• non-linear dynamics
• target diffusion
• twisting theory
• data structures

• Ithaca College, Ithaca, USA

  William J. Tastle

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