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...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
New York, NY :
Springer New York : Imprint: Springer,
2013.
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.