Indira Gandhi National Tribal University, Amarkantak

Prof. Ram Dayal Munda Central Library

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Big data for insurance companies / edited by Marine Corlosquet-Habart, Jacques Janssen.

Contributor(s): Material type: TextTextSeries: Big data, artificial intelligence and data analysis set ; volume 1.Publisher: London, UK : Hoboken NJ : ISTE, Ltd. ; John Wiley & Sons, Inc., 2018Description: 1 online resource (xv, 166 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781119489368
  • 1119489369
  • 9781119489290
  • 1119489296
Subject(s): Genre/Form: Additional physical formats: Print version:: Big data for insurance companies.DDC classification:
  • 005.7 23
LOC classification:
  • QA76.9.B45 B553 2018eb
Online resources:
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.
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Online resource; title from PDF title page (EBSCO, viewed February 8, 2018).

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.

Includes bibliographical references and index.

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.

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