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- 000 02219pam a2200397 i 4500
- 008 171101s2018 enka b 001 0 eng
- 040 __ |a DLC |b eng |e rda |c DLC |d SHCD
- 099 __ |a CAL 022018098224
- 245 00 |a Big data for insurance companies / |c edited by Marine Corlosquet-Habart, Jacques Janssen.
- 264 _1 |a London ; |a Hoboken, New Jersey : |b ISTE Ltd/John Wiley and Sons Inc, |c 2018.
- 300 __ |a xv, 161 pages : |b illustrations ; |c 24 cm.
- 336 __ |a text |b txt |2 rdacontent
- 337 __ |a unmediated |b n |2 rdamedia
- 338 __ |a volume |b nc |2 rdacarrier
- 490 1_ |a Big data, artificial intelligence and data analysis set ; |v v. 1
- 504 __ |a Includes bibliographical references and index.
- 505 0_ |a 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.
- 520 __ |a 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.
- 650 _0 |a Insurance companies.
- 650 _0 |a Quantitative research.
- 700 1_ |a Corlosquet-Habart, Marine, |d 1980- |e editor.
- 700 1_ |a Janssen, Jacques, |e editor.
- 710 2_ |a Ohio Library and Information Network.
- 830 _0 |a Innovation, entrepreneurship and management series. |p Big data, artificial intelligence and data analysis set ; |v vol. 1
- 921 __ |a CASHL |b CEPIEC |c 9781786300737