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Data Mining Applications Using Artificial Adaptive Systems

Author: William J Tastle
Publisher: New York, NY : Springer New York : Imprint: Springer, 2013.
Edition/Format:   Print book : Document   Computer File : EnglishView all editions and formats
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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  Read more...

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Additional Physical Format: Printed edition:
Data Mining Applications Using Artificial Adaptive Systems
Material Type: Document
Document Type: Book, Computer File
All Authors / Contributors: William J Tastle
ISBN: 9781461442233 1461442230
OCLC Number: 939747159
Notes: none.
Description: 1 online resource (VII, 275 p. 135 illus., 111 illus. in color.)
Contents: Assessing Post-Radiotherapy Treatment involving Brain Volume Differences in Children --
J-Net: an Adaptive System for Computer-Aided Diagnosis in Lung Nodule Characterization --
Population Algorithm: A New Method of Multi-Dimensional Scaling --
Semantics of Point Spaces through the Topological Weighted Centroid and Other Mathematical Quantities --
Meta Net: A New Meta-Classifier Family --
Optimal Informational Sorting: The ACS-ULA Approach --
GUACAMOLE: A New Paradigm for Unsupervised Competitive Learning --
Spatiotemporal Mining: A Systematic Approach to Discrete Diffusion Models for Time and Space Extrapolation.
Responsibility: edited by William J. Tastle.
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