Computational Methods for Data Analysis

Yeliz Karaca, Carlo Cattani

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English

De Gruyter
17 December 2018

Anthropology; Algebra; Probability & statistics; Applied mathematics; Data mining

Series: De Gruyter STEM

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.

By: Yeliz Karaca, Carlo Cattani
Imprint: De Gruyter
Country of Publication: Germany
Dimensions: Height: 240mm, Width: 170mm, Spine: 21mm
Weight: 753g
ISBN: 9783110496352
ISBN 10: 3110496356
Series: De Gruyter STEM
Pages: 395
Publication Date: 17 December 2018
Audience: College/higher education , Primary , Primary
Format: Paperback
Publisher's Status: Active

Yeliz Karaca, University of Massachusetts, Worcester MA, USA; Carlo Cattani, University of Tuscia, Viterbo, Italy.