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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.
Price: $106.99
Pages: 395
Publisher: De Gruyter
Imprint: De Gruyter
Publication Date:
17 December 2018
ISBN: 9783110496352
Format: Paperback
BISACs:
BUS021000 BUSINESS & ECONOMICS / Econometrics, COM018000 COMPUTERS / Data Processing, COM021030 COMPUTERS / Database Management / Data Mining, MAT029000 MATHEMATICS / Probability & Statistics / General, SOC002000 SOCIAL SCIENCE / Anthropology / General
Yeliz Karaca, University of Massachusetts, Worcester MA, USA; Carlo Cattani, University of Tuscia, Viterbo, Italy.