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

Format:

Book

Contributor:

Corlosquet-Habart, Marine, editor.

Janssen, Jacques, editor.

Series:

Big Data, Artificial Intelligence and Data Analysis Set ; Volume 1

Language:

English

Subjects (All):

Big data.

Physical Description:

1 online resource (142 pages) : illustrations (some color), tables.

Edition:

1st ed.

Place of Publication:

Hoboken, New Jersey : Wiley, 2018.

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.

Contents:

Intro

Table of Contents

Title

Copyright

Foreword

Introduction

1 Introduction to Big Data and Its Applications in Insurance

1.1. The explosion of data: a typical day in the 2010s

1.2. How is big data defined?

1.3. Characterizing big data with the five Vs

1.4. Architecture

1.5. Challenges and opportunities for the world of insurance

1.6. Conclusion

1.7. Bibliography

2 From Conventional Data Analysis Methods to Big Data Analytics

2.1. From data analysis to data mining: exploring and predicting

2.2. Obsolete approaches

2.3. Understanding or predicting?

2.4. Validation of predictive models

2.5. Combination of models

2.6. The high dimension case

2.7. The end of science?

2.8. Bibliography

3 Statistical Learning Methods

3.1. Introduction

3.2. Decision trees

3.3. Neural networks

3.4. Support vector machines (SVM)

3.5. Model aggregation methods

3.6. Kohonen unsupervised classification algorithm

3.7. Bibliography

4 Current Vision and Market Prospective

4.1. The insurance market: structured, regulated and long-term perspective

4.2. Big data context: new uses, new behaviors and new economic models

4.3. Opportunities: new methods, new offers, new insurable risks, new management tools

4.4. Risks weakening of the business: competition from new actors, "uberization", contraction of market volume

4.5. Ethical and trust issues

4.6. Mobilization of insurers in view of big data

4.7. Strategy avenues for the future

4.8. Bibliography

5 Using Big Data in Insurance

5.1. Insurance, an industry particularly suited to the development of big data

5.2. Examples of application in different insurance activities

5.3. New professions and evolution of induced organizations for insurance companies

5.4. Development constraints

5.5. Bibliography.

List of Authors

Index

End User License Agreement.

Notes:

Includes bibliographical references at the end of each chapters and index.

Description based on print version record.

ISBN:

9781119489283

1119489288

9781119489368

1119489369

9781119489290

1119489296

OCLC:

1020492658