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

Gerardo, Bobby D.; Lee, Jaewan

doi:10.1016/j.tele.2008.05.003

Cited by 10 publications

(6 citation statements)

References 6 publications

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“…There are few sources from the risk and insurance field (Geyer et al , 2019), although recently more articles come from the actuarial domain, many of which focus on the covariate selection for usage-based insurance (Lemaire et al , 2016; Wüthrich, 2017; Huang and Meng, 2019). Also, technology-oriented journals have published few papers on the role of insurance and the implications of technology for insurance markets (Filipova-Neumann and Welzel, 2010; Gerardo and Lee, 2009; Parsons, 1994). Recently, a few special issues also cover the topic (e.g.…”

Section: Methodsmentioning

confidence: 99%

The impact of telematics on the insurability of risks

Eling

Kraft

2020

JRF

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Purpose The purpose of this paper is to analyze the use of telematics in insurance and its consequences for the insurability of risks. Empirical results on monitoring policyholders or insured objects and its consequences for asymmetric information, as well as claims frequency and severity are discussed. Furthermore, potential future research questions that arise from the use of telematics in risk management and insurance are outlined. Design/methodology/approach The paper systematically reviews existing studies and then investigates the consequences of telematics using Berliner’s insurability criteria. The results are based on 52 academic studies and industry papers published from 2000 to 2019. Findings The findings emphasize the effects of new information on information asymmetry and risk pooling, the implications of new technologies on loss frequency and severity, legal restrictions and ethical consequences of the use of telematics in the insurance field. Problems with the insurability impede the market development of innovations such as telematics tariffs. Originality/value Despite its increasing relevance for businesses at present, research on telematics in insurance is limited. Some papers can be found in the IT domain, but relatively little research has been done in the business and economics literature. The authors illustrate where the research stands currently and outline directions for future research.

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Section: Methodsmentioning

confidence: 99%

The impact of telematics on the insurability of risks

Eling

Kraft

2020

JRF

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“…Semi-formal models (AgentMiningSemiFormalModel) often use UML diagrams, mostly UseCaseDiagram (e.g. Samoylov & Gorodetsky (2005), Gerardo & Lee (2009) and SequenceDiagram (e.g. Xue et al (2009), Dos Santos & Bazzan (2005)).…”

Section: Cq4 -Which Are the Approaches (Model Architecture Technique And So On) Used In Agent Mining?mentioning

confidence: 99%

Agent mining approaches: an ontological view

Strugeon

Oliveira

Zekri

et al. 2021

The Knowledge Engineering Review

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Introduced as an interdisciplinary area that combines multi-agent systems, data mining and knowledge discovery, agent mining is currently in practice. To develop agent mining applications involves a combination of different approaches (model, architecture, technique and so on) from software agent and data mining (DM) areas. This paper presents an investigation of the approaches used in the agent mining systems by deeply analyzing 121 papers resulting from a systematic literature review. An ontology was defined to capitalize the knowledge collected from this study. The ontology is organized according to seven main facets: the problem addressed, the application domain, the agent-related and the mining-related elements, the models, processes and algorithms. This ontology is aimed at providing support to decisions about agent mining application design.

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“…On the other hand, InternetCar as cited by Chen et al (Chen et al, 2004) proposed architecture to connect car to the Internet. (Gerardo and Lee, 2009) Hardware Layer Communication Layer Data Layer Figure 2. Global architecture for data aggregation in a telematics system Some other workable communication medium to transmit data from a mobile vehicle is described in the primer on real-time traffic system (Helm et al, 2006 ), which includes cellular technologies such as GSM, CDMA, GPRS, EDGE, WCDMA, TDMA, iDEN, and WiDEN.…”

Section: The Advantages Of Telematics In the Context Of The Developmementioning

confidence: 99%

The Importance of Telematics in the Transport System

Neumann

2018

TransNav

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Security mechanisms of a telematics system are exceedingly intersecting as they could pretend the ordinary influence of the vehicle and perhaps terminate in accidents. This paper includes a new look at automotive and telematics transportation systems, also refers to methods in modelling, facility location, data processing and assessment of risk in telematics networks. http://www.transnav.eu the International Journal on Marine Navigation and Safety of Sea Transportation Volume 12 Number 3

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

Cited by 10 publications

References 6 publications

The impact of telematics on the insurability of risks

The impact of telematics on the insurability of risks

Agent mining approaches: an ontological view

The Importance of Telematics in the Transport System

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