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

Bobby D. Gerardo; Jaewan Lee

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

机译：远程信息处理系统中使用聚合和智能数据挖掘代理发现相关模式的框架

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摘要

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.

机译：车载远程信息处理中的新兴技术促使该领域的一些利益相关者考虑对客户和远程信息处理服务提供商均可能有益的服务。特别是，本文提出了一种使用移动聚合代理（AA）和智能数据挖掘代理（IDMA）的韩国保险远程信息处理的新型框架。据我们所知，这种模型在该国是最新的，并且根据驾驶员的特征提供的基线信息可作为灵活保险政策的参考。我们能够提供一个用例场景和说明性示例来演示我们的模型。通过这种灵活的保险框架，客户可以管理自己的保险费并降低驾驶成本。该系统在商业和行业中的应用前景已得到认可和讨论。

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来源
《Telematics and Informatics》 |2009年第4期|343-352|共10页
作者
Bobby D. Gerardo; Jaewan Lee;
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作者单位

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;

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收录信息美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
telematics systems; aggregation; data mining agent; flexible insurance;

机译：远程信息处理系统;聚合;数据挖掘代理;弹性保险;

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

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