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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Tastle, William J. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Temas:
Artificial intelligence.
Data mining.
Artificial intelligence-Data processing.
Biometric identification.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Data Science.
Biometrics.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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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