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dc.contributor.authorCorlosquet-Habart, Marine (editor)
dc.contributor.authorJanssen, Jacques (editor)
dc.date.issued2018
dc.identifier.isbn978-1-78630-073-7
dc.identifier.urihttps://thuvienso.hoasen.edu.vn/handle/123456789/7357
dc.description.abstractThis book presents the fundamentals for understanding the concept of big data, including data analysis methods, learning processes, its applications to insurance and its position within the insurance market. Topics ranging from classical data analysis methods to the impact of big data on the present and future insurance market are discussed to give an overview of big data methods applied to insurance problems. As an edited book, the reader will find chapters written by authors well-known in their fields, including data scientists, actuaries, statisticians and engineers. This book has been written for readers who want to gain a better understanding of big data and its applications within companies and organizations in the fields of banking, insurance and marketing.
dc.formatxv, 166 p. : ill.
dc.language.isoen
dc.publisherISTE; John Wiley & Sons, Inc.
dc.relation.ispartofseriesBig Data, Artificial Intelligence and Data Analysis Set
dc.subjectBig data
dc.subjectInsurance
dc.titleBig data for insurance companies. Volume 1
dc.typeBook


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