Mathematical Foundations of Big Data Analytics

Lingua: inglese

Editore: Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, DE, 2021

3662625202 / 9783662625200

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In this textbook, basic mathematical models used in Big Data Analytics are presented and application-oriented references to relevant practical issues are made. Necessary mathematical tools are examined and applied to current problems of data analysis, such as brand loyalty, portfolio selection, credit investigation, quality control, product clustering, asset pricing etc. - mainly in an economic context. In addition, we discuss interdisciplinary applications to biology, linguistics, sociology, electrical engineering, computer science and artificial intelligence. For the models, we make use of a wide range of mathematics - from basic disciplines of numerical linear algebra, statistics and optimization to more specialized game, graph and even complexity theories. By doing so, we cover all relevant techniques commonly used in Big Data Analytics.Each chapter starts with a concrete practical problem whose primary aim is to motivate the study of a particular Big Data Analytics technique. Next, mathematical results follow - including important definitions, auxiliary statements and conclusions arising. Case-studies help to deepen the acquired knowledge by applying it in an interdisciplinary context. Exercises serve to improve understanding of the underlying theory. Complete solutions for exercises can be consulted by the interested reader at the end of the textbook; for some which have to be solved numerically, we provide descriptions of algorithms in Python code as supplementary material.This textbook has been recommended and developed for university courses in Germany, Austria and Switzerland. …

Codice articolo LU-9783662625200

Titolo
Mathematical Foundations of Big Data Analytics
Autore
David Müller, Vladimir Shikhman
Editore
Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, DE
Anno di pubblicazione
2021
Condizione
New
Rilegatura
Paperback
Lingua
inglese
ISBN 10
3662625202
ISBN 13
9783662625200
Edizione
1st ed. 2021.

Rarewaves.com USA

London, London, Regno Unito

Venditore con 5 stelle

Venditore AbeBooks dal 11 giugno 2025

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ArticoloDa 10 a 15 giorni lavorativiDa 10 a 15 giorni lavorativi
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