Research On The Application Of Data Mining Techniques In Vehicle Insurance

Vehicle insurance companies have abundant data of customer, so the effective mining and analysis on customer data will service insurance companies better. Research data mining techniques in the application of vehicle insurance is of great significance. The subject of this paper is to discover and analysis the information implicated in data by using the data mining techniques, and finally to provide support with vehicle insurance.This paper firstly discusses the key techniques and latest development in data mining field. On the basis of introduction of the definition and algorithm of association rule, the research of this paper primarily focuses on application of association rule in vehicle insurance, including analysis of customer risks, analysis of customer values, recognition of insurance fraud. With increased interest, the potential of usefulness, concise of rules and other indicators, the association rule is evaluated and improved, so as to facilitate a more effective mining association rules. In addition, this paper also have research in the joint application of association rules and other data mining techniques in vehicle insurance. Through association rules and clustering analysis, association rules and neural network can improve the joint mining effect. Finally, Rule base is construct by the association rules.At the beginning of the process of design decision support system for vehicle insurance, firstly, we introduce decision support system, related theory and key technologies of decision support system in the development. Decision support system and relative theory are introduced, key technologies of decision support system in the development. Then techniques of ontology, construction method of ontology and build process of ontology are introduced, Vehicle insurance case base is established by ontology editing tools Protege. According to the different levels and applications, ontology is divided into meta-ontology of vehicle insurance, domain ontology of vehicle insurance and application ontology of vehicle insurance. On the basis of summarizing the CBR and RBR integrated reasoning, an integrated algorithm of CBR and RBR is also put forward. At last, this paper gives the integrated reasoning model of CBR and RBR and put the framework of decision support system.