Computational Methods for Data Analysis (De Gruyter Textbook) (De Gruyter Stem)
Authors: Yeliz Karaca – Carlo Cattani
ISBN-10: 3110496356
ISBN-13: 9783110496352
Released: 2018-12-17
Print Length 页数: 395 pages
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.
Contents
1Introduction
2Dataset
3 Data preprocessing and model evaluation
4Algorithms
5 Linear model and multilinear model
6Decision Tree
7 Naive Bayesian classifier
8 Support vector machines algorithms
9k-Nearest neighbor algorithm
10 Artificial neural networks algorithm
11 Fractal and multifractal methods with ANN
Index
