Data Mining In E-commerce Research And Applications

To some extent, computer technology evolvement includes the evolvement of data extraction, data generation and data processing technology. Currently operational database in all industry fields grows rapidly not only in number but also in data volume. Data mining is a major research area which is driven by the application requirement in this field.With the insurance system reform development and our entrance of WTO and comprehensive entrance of external insurance companies, the competition of insurance operation is becoming fiercer. Compared with other industry, insurance operation has more data about customer. Enterprises that can mine and analyze the knowledge contained in the data correctly will drop rate of claim offer insurance product and to customer better and find more opportunities thus win the competition. Our domestic research on this field is still at infancy external research has already been superior to mine greatly. So it is vital and valuable to investigate the application of data mining technology in domestic insurance industry.Data mining technology is an advanced technology of processing information. With the increasing development of motor enterprise, and the improvement of living standard of the people, the enterprise of motorcar insurance is developing and beeoming a kind of insurance enterprise. With the increasing development of motor enterprise and the improvement of living standard, how insurance company take advantage of the material to reform and prompt insurance enterprise, which has become the common Problem of a number of motor insurance companies. The thesis tells the current condition of motor insurance enterprise, and the category, methods, and application of lowing diagram of data mining technology. More over the passage also studies the application of data mining technology on motor insurance strategy and its future.This thesis Puts forward applying data mining in automobile insurance through analysis of Present situation, Problem to be resolved, and developing trends of automobile insurance, mainly researches on how to use data mining technology to improve the level of automobile companies' analysis. Focal Points were set on four business themes: customer risk analysis, customer behavior analysis, customer valuable analysis and fraud detection, and design the corresponding data mining flow and model. The data mining software CTree was used to design, validate and assess models in the demonstration part of this thesis.