Name
Title | ||
|---|---|---|
A framework for discovering relevant patterns using aggregation and intelligent data mining agents in telematics systems |
Abstract | ||
|---|---|---|
The emerging technology in vehicle telematics drives several stakeholders in this field to consider services that could be beneficial for both clients and the telematics service providers. In particular this paper proposes a novel framework for insurance telematics in Korea using a mobile aggregation agent (AA) and intelligent data mining agent (IDMA). To our knowledge, this model is recent of its kind in this country and the base-line information from driver's characteristics serves as reference for the flexible insurance policies. We are able to present a use-case scenario and illustrative examples to demonstrate our model. With this flexible insurance framework, customers can manage their own insurance premiums and lower the cost of motoring. Promising applications of this system to business and industries have been recognized and discussed. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1016/j.tele.2008.05.003 | Telematics and Informatics |
Keywords | Field | DocType |
own insurance premium,data mining agent,telematics service provider,telematics systems,base-line information,aggregation,flexible insurance,relevant pattern,telematics system,intelligent data mining agent,flexible insurance policy,flexible insurance framework,insurance telematics,vehicle telematics,mobile aggregation agent,novel framework,emerging technology,service provider,use case,data mining | Data mining,Insurance policy,Computer science,Service provider,Emerging technologies,Telematics,Marketing | Journal |
Volume | Issue | ISSN |
26 | 4 | Telematics and Informatics |
Citations | PageRank | References |
3 | 0.41 | 6 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bobby D. Gerardo | 1 | 27 | 13.79 |
| Jaewan Lee | 2 | 62 | 14.66 |