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Data mining applications using artificial adaptive systems / William J. Tastle, editor.

Contributor(s): Tastle, William J [editor.].
Material type: materialTypeLabelBookPublisher: New York : Springer, c.2013Description: vii, 275 pages : illustrations ; 25 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781461442226 .Subject(s): Data mining | Artificial intelligence | Data structures (Computer science) | Computer Science February2019DDC classification: 006.312
Contents:
Assessing Post-Radiotherapy Treatment Involving Brain Volume Differences in Children: An Application of Adaptive Systems Methodology / Massimo Buscema, Francis Newman, Giulia Massini, Enzo Grossi and William J. Tastle, et al. -- J-Net: An Adaptive System for Computer-Aided Diagnosis in Lung Nodule Characterization / Massimo Buscema, Roberto Passariello, Enzo Grossi, Giulia Massini and Francesco Fraioli, et al. -- Population Algorithm: A New Method of Multi-Dimensional Scaling / Giulia Massini, Stefano Terzi and Massimo Buscema -- Semantics of Point Spaces Through the Topological Weighted Centroid and Other Mathematical Quantities: Theory and Applications / Massimo Buscema, Marco Breda, Enzo Grossi, Luigi Catzola and Pier Luigi Sacco -- Meta Net: A New Meta-Classifier Family / Massimo Buscema, William J. Tastle and Stefano Terzi -- Optimal Informational Sorting: The ACS-ULA Approach / Massimo Buscema and Pier Luigi Sacco -- GUACAMOLE: A New Paradigm for Unsupervised Competitive Learning / Massimo Buscema and Pier Luigi Sacco -- Spatiotemporal Mining: A Systematic Approach to Discrete Diffusion Models for Time and Space Extrapolation / Massimo Buscema, Pier Luigi Sacco, Enzo Grossi and Weldon A. Lodwick.
Summary: 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.
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Item type Current location Collection Call number Vol info Status Date due Barcode Item holds
Book - Borrowing Book - Borrowing Central Library
Lower Floor
Baccah 006.312 DAT (Browse shelf) 2000088 Available 000044188
Total holds: 0

Includes bibliographical references.

Assessing Post-Radiotherapy Treatment Involving Brain Volume Differences in Children: An Application of Adaptive Systems Methodology / Massimo Buscema, Francis Newman, Giulia Massini, Enzo Grossi and William J. Tastle, et al. --
J-Net: An Adaptive System for Computer-Aided Diagnosis in Lung Nodule Characterization / Massimo Buscema, Roberto Passariello, Enzo Grossi, Giulia Massini and Francesco Fraioli, et al. --
Population Algorithm: A New Method of Multi-Dimensional Scaling / Giulia Massini, Stefano Terzi and Massimo Buscema --
Semantics of Point Spaces Through the Topological Weighted Centroid and Other Mathematical Quantities: Theory and Applications / Massimo Buscema, Marco Breda, Enzo Grossi, Luigi Catzola and Pier Luigi Sacco --
Meta Net: A New Meta-Classifier Family / Massimo Buscema, William J. Tastle and Stefano Terzi --
Optimal Informational Sorting: The ACS-ULA Approach / Massimo Buscema and Pier Luigi Sacco --
GUACAMOLE: A New Paradigm for Unsupervised Competitive Learning / Massimo Buscema and Pier Luigi Sacco --
Spatiotemporal Mining: A Systematic Approach to Discrete Diffusion Models for Time and Space Extrapolation / Massimo Buscema, Pier Luigi Sacco, Enzo Grossi and Weldon A. Lodwick.

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.

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