Computational Methods for Data Analysis
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Product details
- ISBN 9783110496352
- Weight: 753g
- Dimensions: 170 x 240mm
- Publication Date: 17 Dec 2018
- Publisher: De Gruyter
- Publication City/Country: DE
- Product Form: Paperback
- Language: English
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.
Yeliz Karaca, University of Massachusetts, Worcester MA, USA; Carlo Cattani, University of Tuscia, Viterbo, Italy.
