A framework for discovering relevant patterns using aggregation and intelligent data mining agents in telematics systems

Authors:
Bobby D. Gerardo;Jaewan Lee
Affiliations:
Institute of Information and Communications Technology, West Visayas State University, La Paz, Iloilo City, Philippines;School of Electronic and Information Engineering, Kunsan National University, 68 Miryong-dong, Kunsan, Chonbuk 573-701, South Korea
Venue:
Telematics and Informatics
Year:
2009

Citing 4
Cited 2

Intelligent pervasive middleware for context-based and localized telematics services

WMC '02 Proceedings of the 2nd international workshop on Mobile commerce
Framework for security and privacy in automotive telematics

WMC '02 Proceedings of the 2nd international workshop on Mobile commerce
Data protection and data sharing in telematics

Mobile Networks and Applications
A flexible integration strategy for in-car telematics systems

SEAS '05 Proceedings of the second international workshop on Software engineering for automotive systems

Telematics Business and Management in the Bahrain Market: Challenges and Obstacles

International Journal of Technology Diffusion
Effective data warehouse for information delivery: a literature survey and classification

International Journal of Networking and Virtual Organisations

Quantified Score

Hi-index	0.00

Visualization

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.