Name
Abstract | ||
|---|---|---|
Abstract Nowadays, in the insurance industry the use of predictive modeling by means of regression and classification techniques is becoming increasingly important and popular. The success of an insurance company largely depends on the ability to perform such tasks as credibility estimation, determination of insurance premiums, estimation of probability of claim, detecting insurance fraud, managing insurance risk. This paper discusses regression and classification modeling for such types of prediction problems using the method of Adaptive Basis Function Construction
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Year | DOI | Venue |
|---|---|---|
2014 | 10.2478/acss-2014-0004 | Appl. Comput. Syst. |
Keywords | Field | DocType |
Classification, insurance, prediction, regression | Data mining,Insurance industry,Regression,Credibility,Information technology,Computer science,Insurance fraud,Software development,Project management | Journal |
Volume | Issue | ISSN |
15 | 1 | 2255-8683 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gints Jekabsons | 1 | 11 | 2.16 |
| marina uhanova | 2 | 0 | 0.34 |