| After entering the 1980 s, computer technology has made rapid development, beginni ng to appear business computer system in the insurance industry. with the increasingly pe rfect business system of the insurance company and the establishment of data exchange an d processing center, there come some questions: how to satisfy the demand of increasing k inds of query, statistics, reporting, analysis and forecast in the insurance industry;How to i mprove the ability of preventing and solving the risk to win the advantage in the fierce co mpetition? these are the primary problems for the application of insurance companies in the information technology. Because the insurance industry often involves a lot of financia l problems which has certain significance and complexity, the development of data inform ation in the insurance industry has the important value and broad application space.In this paper, the main content is related to the analysis and design of the data mining system in property insurance.through the comparison and analysis of the related data mini ng method, the data mining of associated rules is chosen as the foundation. After that, by choosing the incremental mining algorithm of associated rules algorithm combined with th e data mining method guided by experience, data mining can be realised based on the anal ysis of the property insurance.According to the specific data of property insurance and inc remental mining algorithm characteristics, the algorithm implementation mechanism has b een made, as well as the property insurance analysis system.By selecting the related risk d ata from the property insurance's promises and claims as the data set content of the data mi ning system, the FP_growth algorithm of the correlation algorithm has been implecated i n this paper to conduct the data analysis of collected datas for its merits and disadvantages as well as rules. Tests show that the system runs stably, which is of high security and high scalability. |
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