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Mathematical Underpinnings of Analytics
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Mathematical Underpinnings of Analytics: Theory and Applications

Peter Grindrod

Abstract

This book presents analytics within a framework of mathematical theory and concepts, building upon firm theory and foundations of probability theory, graphs, and networks, random matrices, linear algebra, optimization, forecasting, discrete dynamical systems, and more. Following on from the theoretical considerations, applications are given to data from commercially relevant interests: supermarket baskets; loyalty cards; mobile phone call records; smart meters; ‘omic‘ data; sales promotions; social media; and microblogging. Each chapter tackles a topic in analytics: social networks and digital ... More

Keywords: analytics, mathematics, big data, human behaviour, commercial advantage, advanced textbook

Bibliographic Information

Print publication date: 2014 Print ISBN-13: 9780198725091
Published to Oxford Scholarship Online: March 2015 DOI:10.1093/acprof:oso/9780198725091.001.0001

Authors

Affiliations are at time of print publication.

Peter Grindrod, author
Mathematical Institute, University of Oxford