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Springer Math-for-Industry 2018 Forum Proceedings - Big Data, AI, Fintech

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£124.18 £109.20 £112.47 £115.74 £119.00 £122.27 £125.54 27 July 2026 14 August 2026 01 September 2026 19 September 2026 07 October 2026
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Description

This volume from Springer's Mathematics for Industry series compiles peer-reviewed proceedings from the 2018 Math-for-Industry Forum, bringing together research on big data analysis, artificial intelligence applications, fintech innovations, and mathematical approaches to finance and economics. The collection reflects cutting-edge work from industry practitioners and academic researchers addressing real-world challenges at the intersection of mathematics and contemporary business problems. Contributors explore practical implementations of mathematical theory in data-driven decision making, algorithmic trading, risk management, and economic modelling. Ideal for researchers, practitioners, and students seeking to understand how advanced mathematical techniques solve modern financial and economic problems.

Key Features

Part of Springer's Mathematics for Industry series, volume 35, offering peer-reviewed academic content on applied mathematics in business.

Covers big data analysis methods and technologies for extracting insights from large-scale datasets in financial contexts.

Includes fintech and financial mathematics research addressing current challenges in banking, investment, and economic systems.

Features AI applications in finance and economics, demonstrating machine learning and algorithmic approaches to industry problems.

Presents contributions from the 2018 Math-for-Industry Forum, connecting academic research with practical industry implementation.

Suitable for researchers, practitioners, and postgraduate students in mathematics, finance, economics, and computer science fields.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
19 December 2022
Listed Since
21 November 2022

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