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Data mining applications using artificial adaptive systems

Autore: William J Tastle
Editore: New York, NY : Springer, ©2013.
Edizione/Formato:   eBook : Document : EnglishVedi tutte le edizioni e i formati
Banca dati:WorldCat
Sommario:
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  Per saperne di più…
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Dettagli

Genere/forma: Electronic books
Informazioni aggiuntive sul formato: Print version:
(CaONFJC)cou11200329
Tipo materiale: Document, Risorsa internet
Tipo documento: Internet Resource, Computer File
Tutti gli autori / Collaboratori: William J Tastle
ISBN: 9781461442233 1461442230 1461442222 9781461442226 9781283623896 1283623897
Numero OCLC: 808818336
Descrizione: 1 online resource.
Contenuti: 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.
Responsabilità: William J. Tastle, editor.
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Abstract:

Addresses the complexities involved in data mining and the development of algorithms, built on an underlying theory consisting of linear and non-linear dynamics, data selection, filtering, and  Per saperne di più…

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