Data Mining Applications Using Artificial Adaptive Systems

Name: Data Mining Applications Using Artificial Adaptive Systems
Brand: Springer-Verlag New York Inc.
SKU: 9781493944453
Price: 105.19 EUR
Availability: InStock

Автор: William J Tastle

Език:

Корици: С меки корици

Издател: Springer-Verlag New York Inc.

Наличност: Външен склад

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105.19 € 205.74 лв

This volume directly addresses the complexities involved in data mining and the development of new a...

Информация за книгата

Автор

William J Tastle

Език

Английски език

Корици

Книга - С меки корици

Издадена

2016

страници

275

EAN

9781493944453

ISBN

9781493944453

Enbook ID

14083095

Издател

Springer-Verlag New York Inc.

Теглоt

4336

Размери

155 x 235 x 16

Пълно описание

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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Data Mining Applications Using Artificial Adaptive Systems

Информация за книгата

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