Data Mining Applications Using Artificial Adaptive Systems

Data Mining Applications Using Artificial Adaptive Systems

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 derive...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Tastle, William J. (Editor)
Format: Electronic eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2013.
Subjects:
Computer science.
Data structures (Computer science).
Data mining.
Artificial intelligence.
Biometrics (Biology).
Computer Science.
Artificial Intelligence (incl. Robotics).
Data Mining and Knowledge Discovery.
Data Structures.
Biometrics.
Online Access:Full Text via HEAL-Link
Table of 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.

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