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Data mining applications using artificial adaptive systems

Author: William J Tastle
Publisher: New York : Springer, [2013] ©2013
Edition/Format:   Print book : EnglishView all editions and formats
Database:WorldCat
Summary:

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  Read more...

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Document Type: Book
All Authors / Contributors: William J Tastle
ISBN: 9781461442226 1461442222
OCLC Number: 856520549
Description: vii, 275 pages : illustrations ; 24 cm
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.
Responsibility: William J. Tastle, editor.
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