Computational Methods for Data Analysis

Computational Methods for Data Analysis
  • eBook:
    Computational Methods for Data Analysis
  • Author:
    Yeliz Karaca, Carlo Cattani
  • Edition:
  • Categories:
  • Data:
    December 17, 2018
  • ISBN:
  • ISBN-13:
  • Language:
  • Pages:
    395 pages
  • Format:

Book Description
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 then used for the processing of real-life data using Matlab.


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

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