File(s) under permanent embargo

Community enhanced record linkage method for vehicle insurance system

conference contribution
posted on 2019-01-01, 00:00 authored by Chuan Christian Lu, Guangyan HuangGuangyan Huang, Yong XiangYong Xiang
Record linkage is a pivotal data integration stage in the vehicle insurance claims analysis system and serves as a foundation for fraud detection, market promotion and other major business applications. While the traditional method of rules based classification plus clerical review is still in use in the industry, the latest development has advanced into link analysis based collective record linkage which has put the blocking and classification processes under the global context. To apply this method with a fraud detection objective, we have developed a community enhanced record linkage model specially tailored for the requirements of vehicle insurance claim system. A major novel approach is the construction of claim communities linking the claims, customers and vehicles involved and apply probabilistic data matching algorithms integrated with spatio-temporal co-occurrence patterns. In addition, the matched results could be used to identify the outliers in fraud detection analysis.

History

Event

Advanced Data Mining and Applications. International Conference (15th : 2019 : Dalian, China)

Volume

11888

Series

Lecture notes in computer science

Pagination

761 - 776

Publisher

Springer

Location

Dalian, China

Place of publication

Cham, Switzerland

Start date

2019-11-21

End date

2019-11-23

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

9783030352301

ISBN-10

3030352315

Language

eng

Publication classification

E1 Full written paper - refereed

Editor/Contributor(s)

J Li, S Wang, S Qin, X Li, S Wang

Title of proceedings

ADMA 2019 : Proceedings of Advanced Data Mining and Applications 15th International Conference , Dalian, China