Computational methods for data analysis /

This graduate text covers a variety of mathematical and statistical tools for the analysis of big data coming from biology, medicine and economics. Neural networks, Markov chains, tools from statistical physics and wavelet analysis are used to develop efficient computational algorithms, which are th...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Cattani, Carlo (Author), Karaca, Yeliz (Author)
Format: Electronic eBook
Language:Inglés
Published: Berlin ; Boston : Walter de Gruyter GmbH, [2019]
Series:De Gruyter STEM
Subjects:
Computational intelligence.
Electronic data processing.
Intelligence informatique.
MATHEMATICS > Essays.
MATHEMATICS > Pre-Calculus.
MATHEMATICS > Reference.
Online Access:Texto completo
Table of Contents:
  • Frontmatter
  • Preface
  • Acknowledgment
  • Contents
  • 1. Introduction
  • 2. Dataset
  • 3. Data preprocessing and model evaluation
  • 4. Algorithms
  • 5. Linear model and multilinear model
  • 6. Decision Tree
  • 7. Naive Bayesian classifier
  • 8. Support vector machines algorithms
  • 9. k-Nearest neighbor algorithm
  • 10. Artificial neural networks algorithm
  • 11. Fractal and multifractal methods with ANN
  • Index

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