| Description |
1 online resource (xv, 166 pages) : illustrations (some color) |
| Series |
Big data, artificial intelligence and data analysis set ; volume 1 |
|
Innovation, entrepreneurship and management series. Big data, artificial intelligence and data analysis set ; v. 1.
|
| Contents |
Introduction to Big Data and Its Applications in Insurance / Romain Billot, Cécile Bothorel, Philippe Lenca -- From Conventional Data Analysis Methods to Big Data Analytics / Gilbert Saporta -- Statistical Learning Methods / Franck Vermet -- Current Vision and Market Prospective / Florence Picard -- Using Big Data in Insurance / Emmanuel Berthelé |
| Summary |
This book will be a 'must' for people who want good knowledge of big data concepts and their applications in the real world, particularly in the field of insurance. It will be useful to people working in finance and to masters students using big data tools. The authors present the bases of big data: data analysis methods, learning processes, application to insurance and position within the insurance market. Individual chapters a will be written by well-known authors in this field |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Online resource; title from PDF title page (EBSCO, viewed February 8, 2018) |
| Subject |
Big data.
|
|
Insurance companies.
|
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Quantitative research.
|
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Insurance Carriers
|
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COMPUTERS -- Databases -- Data Warehousing.
|
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Big data
|
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Insurance companies
|
|
Quantitative research
|
| Form |
Electronic book
|
| Author |
Corlosquet-Habart, Marine, 1980- editor.
|
|
Janssen, Jacques, 1939- editor.
|
| ISBN |
9781119489283 |
|
1119489288 |
|
9781119489290 |
|
1119489296 |
|
9781119489368 |
|
1119489369 |
|
