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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 XiangRecord 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
11888Series
Lecture notes in computer sciencePagination
761 - 776Publisher
SpringerLocation
Dalian, ChinaPlace of publication
Cham, SwitzerlandPublisher DOI
Start date
2019-11-21End date
2019-11-23ISSN
0302-9743eISSN
1611-3349ISBN-13
9783030352301ISBN-10
3030352315Language
engPublication classification
E1 Full written paper - refereedEditor/Contributor(s)
J Li, S Wang, S Qin, X Li, S WangTitle of proceedings
ADMA 2019 : Proceedings of Advanced Data Mining and Applications 15th International Conference , Dalian, ChinaUsage metrics
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