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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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Cattani, Carlo (Autor), Karaca, Yeliz (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin ; Boston : Walter de Gruyter GmbH, [2019]
Colección:De Gruyter STEM
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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