Retrieval and configuration of life insurance policies
Identifieur interne :
000453 ( PascalFrancis/Curation );
précédent :
000452;
suivant :
000454
Retrieval and configuration of life insurance policies
Auteurs : Alexander Tanakovski [
Allemagne] ;
Martin Schaaf [
Allemagne] ;
Ralph Bergmann [
Allemagne]
Source :
-
Lecture notes in computer science [ 0302-9743 ] ; 2005.
RBID : Pascal:05-0407259
Descripteurs français
- Pascal (Inist)
- Intelligence artificielle,
Configuration,
Questionnaire,
Collecte,
Analyse comportementale,
Similitude,
Solution similitude,
Indexation,
Assurance,
Portail Web,
Raisonnement basé sur cas.
- Wicri :
English descriptors
- KwdEn :
- Artificial intelligence,
Behavioral analysis,
Case based reasoning,
Configuration,
Gathering,
Indexing,
Insurance,
Questionnaire,
Similarity,
Similarity solution,
Web portal.
Abstract
When searching for the right life insurance product, one can either confide in her/his insurance broker or fill out lengthy questionnaires at Internet Portal sites before gathering a large amount of knowledge for interpreting the results. While the first alternative is risky, the second is cumbersome. In this paper, we present an approach that overcomes these drawbacks. It makes use of Structural Case-Based-Reasoning (SCBR) extended by the concept of generalized cases. Here, each insurance product is represented as a generalized case and therefore similarity assessment and indexing of case bases consisting of generalized cases is one of the topics of this paper.
pA |
A01 | 01 | 1 | | @0 0302-9743 |
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A05 | | | | @2 3620 |
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A08 | 01 | 1 | ENG | @1 Retrieval and configuration of life insurance policies |
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A09 | 01 | 1 | ENG | @1 Case-based reasoning research and development : Chicago IL, 23-26 August 2005 |
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A11 | 01 | 1 | | @1 TANAKOVSKI (Alexander) |
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A11 | 02 | 1 | | @1 SCHAAF (Martin) |
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A11 | 03 | 1 | | @1 BERGMANN (Ralph) |
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A12 | 01 | 1 | | @1 MUNOZ-AVILA (Hector) @9 ed. |
---|
A12 | 02 | 1 | | @1 RICCI (Francesco) @9 ed. |
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A14 | 01 | | | @1 University of Trier, Department of Business Information Systems II @2 54286 Trier @3 DEU @Z 1 aut. @Z 3 aut. |
---|
A14 | 02 | | | @1 University of Hildesheim, Institute for Mathematics and Applied Computer Science, Data and Knowledge Management Group @2 31113 Hildesheim @3 DEU @Z 2 aut. |
---|
A20 | | | | @1 552-565 |
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A21 | | | | @1 2005 |
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A23 | 01 | | | @0 ENG |
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A26 | 01 | | | @0 3-540-28174-6 |
---|
A43 | 01 | | | @1 INIST @2 16343 @5 354000124409220390 |
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A44 | | | | @0 0000 @1 © 2005 INIST-CNRS. All rights reserved. |
---|
A45 | | | | @0 10 ref. |
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A47 | 01 | 1 | | @0 05-0407259 |
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A60 | | | | @1 P @2 C |
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A61 | | | | @0 A |
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A64 | 01 | 1 | | @0 Lecture notes in computer science |
---|
A66 | 01 | | | @0 DEU |
---|
C01 | 01 | | ENG | @0 When searching for the right life insurance product, one can either confide in her/his insurance broker or fill out lengthy questionnaires at Internet Portal sites before gathering a large amount of knowledge for interpreting the results. While the first alternative is risky, the second is cumbersome. In this paper, we present an approach that overcomes these drawbacks. It makes use of Structural Case-Based-Reasoning (SCBR) extended by the concept of generalized cases. Here, each insurance product is represented as a generalized case and therefore similarity assessment and indexing of case bases consisting of generalized cases is one of the topics of this paper. |
---|
C02 | 01 | X | | @0 001D02C |
---|
C03 | 01 | X | FRE | @0 Intelligence artificielle @5 01 |
---|
C03 | 01 | X | ENG | @0 Artificial intelligence @5 01 |
---|
C03 | 01 | X | SPA | @0 Inteligencia artificial @5 01 |
---|
C03 | 02 | X | FRE | @0 Configuration @5 06 |
---|
C03 | 02 | X | ENG | @0 Configuration @5 06 |
---|
C03 | 02 | X | SPA | @0 Configuración @5 06 |
---|
C03 | 03 | X | FRE | @0 Questionnaire @5 07 |
---|
C03 | 03 | X | ENG | @0 Questionnaire @5 07 |
---|
C03 | 03 | X | SPA | @0 Cuestionario @5 07 |
---|
C03 | 04 | X | FRE | @0 Collecte @5 08 |
---|
C03 | 04 | X | ENG | @0 Gathering @5 08 |
---|
C03 | 04 | X | SPA | @0 Colecta @5 08 |
---|
C03 | 05 | X | FRE | @0 Analyse comportementale @5 09 |
---|
C03 | 05 | X | ENG | @0 Behavioral analysis @5 09 |
---|
C03 | 05 | X | SPA | @0 Análisis conductual @5 09 |
---|
C03 | 06 | X | FRE | @0 Similitude @5 10 |
---|
C03 | 06 | X | ENG | @0 Similarity @5 10 |
---|
C03 | 06 | X | SPA | @0 Similitud @5 10 |
---|
C03 | 07 | X | FRE | @0 Solution similitude @5 11 |
---|
C03 | 07 | X | ENG | @0 Similarity solution @5 11 |
---|
C03 | 07 | X | SPA | @0 Solución semejanza @5 11 |
---|
C03 | 08 | X | FRE | @0 Indexation @5 12 |
---|
C03 | 08 | X | ENG | @0 Indexing @5 12 |
---|
C03 | 08 | X | SPA | @0 Indización @5 12 |
---|
C03 | 09 | X | FRE | @0 Assurance @5 18 |
---|
C03 | 09 | X | ENG | @0 Insurance @5 18 |
---|
C03 | 09 | X | SPA | @0 Seguro @5 18 |
---|
C03 | 10 | X | FRE | @0 Portail Web @5 19 |
---|
C03 | 10 | X | ENG | @0 Web portal @5 19 |
---|
C03 | 10 | X | SPA | @0 Portal web @5 19 |
---|
C03 | 11 | X | FRE | @0 Raisonnement basé sur cas @5 20 |
---|
C03 | 11 | X | ENG | @0 Case based reasoning @5 20 |
---|
C03 | 11 | X | SPA | @0 Razonamiento fundado sobre caso @5 20 |
---|
N21 | | | | @1 283 |
---|
N44 | 01 | | | @1 OTO |
---|
N82 | | | | @1 OTO |
---|
|
pR |
A30 | 01 | 1 | ENG | @1 ICCBR : international conference on case-based reasoning @2 6 @3 Chicago IL USA @4 2005-08-23 |
---|
|
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Le document en format XML
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<author><name sortKey="Schaaf, Martin" sort="Schaaf, Martin" uniqKey="Schaaf M" first="Martin" last="Schaaf">Martin Schaaf</name>
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<author><name sortKey="Bergmann, Ralph" sort="Bergmann, Ralph" uniqKey="Bergmann R" first="Ralph" last="Bergmann">Ralph Bergmann</name>
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<front><div type="abstract" xml:lang="en">When searching for the right life insurance product, one can either confide in her/his insurance broker or fill out lengthy questionnaires at Internet Portal sites before gathering a large amount of knowledge for interpreting the results. While the first alternative is risky, the second is cumbersome. In this paper, we present an approach that overcomes these drawbacks. It makes use of Structural Case-Based-Reasoning (SCBR) extended by the concept of generalized cases. Here, each insurance product is represented as a generalized case and therefore similarity assessment and indexing of case bases consisting of generalized cases is one of the topics of this paper.</div>
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