Get 40% off of select print and eBooks in Engineering & Materials Science!

Business and Consumer Analytics: New Ideas

Editors: MOSCATO, PABLO, de Vries, Natalie Jane (Eds.)

Free Preview
  • An influential approach towards interdisciplinary work; bringing new computer science approaches to social science applications
  •  
  • First of its kind in the area of novel ideas in consumer analytics involving advanced meta-analytic and metaheuristic methods, evolutionary algorithms, sophisticated mathematical models and many other methods
  •  
  • Provides an excellent introduction for the data science novice and a great reference-point of interdisciplinary analytics methods for the more experienced
  •  
  • A novel book design for a collective volume of work, with common datasets analyzed in different ways allowing a common thread making this volume an easy resource to be used for teaching 
see more benefits

Buy this book

eBook $219.00
price for USA in USD (gross)
  • ISBN 978-3-030-06222-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $279.99
price for USA in USD
  • ISBN 978-3-030-06221-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This two-volume handbook presents a collection of novel methodologies with applications and illustrative examples in the areas of data-driven computational social sciences. Throughout this handbook, the focus is kept specifically on business and consumer-oriented applications with interesting sections ranging from clustering and network analysis, meta-analytics, memetic algorithms, machine learning, recommender systems methodologies, parallel pattern mining and data mining to specific applications in market segmentation, travel, fashion or entertainment analytics. A must-read for anyone in data-analytics, marketing, behavior modelling and computational social science, interested in the latest applications of new computer science methodologies.

The chapters are contributed by leading experts in the associated fields.The chapters cover technical aspects at different levels, some of which are introductory and could be used for teaching. Some chapters aim at building a common understanding of the methodologies and recent application areas including the introduction of new theoretical results in the complexity of core problems.  Business and marketing professionals may use the book to familiarize themselves with some important foundations of data science. The work is a good starting point to establish an open dialogue of communication between professionals and researchers from different fields.

Together, the two volumes present a number of different new directions in Business and Customer Analytics with an emphasis in personalization of services, the development of new mathematical models and new algorithms, heuristics and metaheuristics applied to the challenging problems in the field. Sections of the book have introductory material to more specific and advanced themes in some of the chapters, allowing the volumes to be used as an advanced textbook. Clustering, Proximity Graphs, Pattern Mining, Frequent Itemset Mining, Feature Engineering, Network and Community Detection, Network-based Recommending Systems and Visualization, are some of the topics in the first volume. Techniques on Memetic Algorithms and their applications to Business Analytics and Data Science are surveyed in the second volume; applications in Team Orienteering, Competitive Facility-location, and Visualization of Products and Consumers are also discussed. The second volume also includes an introduction to Meta-Analytics, and to the application areas of Fashion and Travel Analytics. Overall, the two-volume set helps to describe some fundamentals, acts as a bridge between different disciplines, and presents important results in a rapidly moving field combining powerful optimization techniques allied to new mathematical models critical for personalization of services. 

Academics and professionals working in the area of business anyalytics, data science, operations research and marketing will find this handbook valuable as a reference. Students studying  these fields will find this handbook useful and helpful as a secondary textbook.


About the authors

Pablo Moscato is co-director of HMRI’s Information Based Medicine research program.

He obtained his Bachelor of Science degree from the University of La Plata in Argentina before completing a PhD at the University of Campinas in Brazil. During a postdoctoral position at the California Institute of Technology, he developed a new methodology called ‘memetic algorithms’ which is now widely used around the world. 

Pablo Moscato has made several key advances in personalised medicine over the past 27 years of his career including identifying important biomarkers and hallmarks of cancer and epilepsy. He has also identified gene expression maps for multiple sclerosis and developed algorithms for successfully discovering biomarkers for Alzheimer’s disease with high accuracy for predicting the onset of the disease, which was previously thought to be a disease somewhat precarious to predict.

Pablor Moscato has won several prestigious awards including the best paper award at the First European Workshop in Evolutionary Computation and Bioinformatics and has also been an invited keynote speaker at numerous scientific conferences including the Metaheuristics International Conference in Singapore and the Congress of the Chilean Institute of Operations Research in 2011. He has successfully supervised more than 13 PhD candidates to completion and is currently supervising another 12 candidates enrolled at the University of Newcastle. Pablo Moscato has also gained more than $11 million in project grant funding over the past 15 years. 

Pablo Moscato is an Australian Research Council (ARC) Future Fellow and Founding Director of the University of Newcastle’s Priority Research Centre (PRC) for Bioinformatics, Biomarker Discovery and Information-Based Medicine and also the Newcastle Bioinformatics Initiative. 

Natalie de Vries is a Conjoint Research Fellow of the University of Newcastle, Australia and a Business Consultant for Atos; a French multinational IT service and consulting company. She holds a B.Com in Economics, a B.Bus in International Business and Marketing and a first-class Honours thesis in Marketing at the University of Newcastle. She has worked at the University's Priority Research Centre for Bioinformatics, Biomarker Discovery and Information-Based medicine (CIBM), which was later re-branded as the group of Life and Economy Applications of Data Science (LEADS). Here she conducted interdisciplinary research with computer scientists in the field of computational social science and she was in charge of the centre's outgoing communications to the general and online community and engaged with private donors of the centre.

Natalie's research publications encompass computational social science, marketing, online consumer behaviour, social media, clustering, network analytics and related areas. In her consultancy work she focuses on digital transformation projects, AI and analytics projects and implementations in the retail and telecom sectors. 

Table of contents (26 chapters)

Table of contents (26 chapters)
  • Marketing Meets Data Science: Bridging the Gap

    Pages 3-117

    Moscato, Pablo (et al.)

  • Consumer Behaviour and Marketing Fundamentals for Business Data Analytics

    Pages 119-162

    de Vries, Natalie Jane (et al.)

  • Introducing Clustering with a Focus in Marketing and Consumer Analysis

    Pages 165-212

    de Vries, Natalie Jane (et al.)

  • An Introduction to Proximity Graphs

    Pages 213-233

    Mathieson, Luke (et al.)

  • Clustering Consumers and Cluster-Specific Behavioural Models

    Pages 235-267

    de Vries, Natalie Jane (et al.)

Buy this book

eBook $219.00
price for USA in USD (gross)
  • ISBN 978-3-030-06222-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $279.99
price for USA in USD
  • ISBN 978-3-030-06221-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Business and Consumer Analytics: New Ideas
Editors
  • PABLO MOSCATO
  • Natalie Jane de Vries
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-06222-4
DOI
10.1007/978-3-030-06222-4
Hardcover ISBN
978-3-030-06221-7
Edition Number
1
Number of Pages
XVIII, 1005
Number of Illustrations
43 b/w illustrations, 167 illustrations in colour
Topics