A Case Study in Knowledge Acquisition for Insurance Risk Assessment using a KDD Methodology
نویسنده
چکیده
We describe some initial experiences in dealing with the task of acquiring knowledge where a very large collection of case histories is available. A Knowledge Discovery in Databases (KDD) approach is taken. KDD is the process of extracting novel information and knowledge from large databases, consisting of many interacting stages performing specific data manipulation and transformation operations with an information flow from one stage onto the next (and usually with feedback into previous stages). We characterise our experiences of this process for the task of acquiring knowledge for the domain of motor vehicle insurance premium setting for NRMA Insurance Limited.
منابع مشابه
KDD For Insurance Risk Assessment: A Case Study
Insurance is a business of risks. Identifying and understanding areas of risk is an important task performed by an insurer. An assessment of risk is used to set the appropriate premium for insurance policies. This paper describes a KDD exercise which uses decision tree techniques to identify significant areas of risk within an insurance portfolio. The real world dataset used contains informatio...
متن کاملDetermining Optimal Risk Assessment Model in Construction Projects (Case study: steel plant construction project)
Introduction: Identifying occupational hazards and managing occupational safety and health risks is the most important mission and responsibility of the health and safety management system in organizations and adopting coded plans to achieve this is the key to continuously improving this system and promoting it. Method: This descriptive-analytic research has been written to determine the optim...
متن کاملRetaining Customers Using Clustering and Association Rules in Insurance Industry: A Case Study
This study clusters customers and finds the characteristics of different groups in a life insurance company in order to find a way for prediction of customer behavior based on payment. The approach is to use clustering and association rules based on CRISP-DM methodology in data mining. The researcher could classify customers of each policy in three different clusters, using association rules. A...
متن کاملSocio-economic Factors Affecting Acceptance of Livestock and Rangelands Insurance (Case Study: Agh Ghala county, Golestan Province, Iran)
Insurance services and financial compensation are regarded for the consequences of events that may happen or not.Farmers and stakeholders can be benefited from the agricultural and natural resources insurance so that they can attain much more stability in resources management, especially through mitigating the effects of potential and imminent risks. The current research was aimed to determine ...
متن کاملModelling the KDD Process A Four Stage Process and Four Element Model Graham
Knowledge Discovery in Databases (KDD) is the process of extracting novel information and knowledge from large databases. This process consists of many interacting stages performing specific data manipulation and transformation operations with an information flow from one stage onto the next (and often back into previous stages). The process can be very complex and may exhibit much variety in t...
متن کامل