Application In Customer Consumption Model Base On Rough Set And Data Mining Methods

Data mining method based on rough set in the application of pattern recognition is the study of consumers.Because of the increase in the amount of data into index and the Internet and data mining technology under the premise of rapid development,in the light of consumer pattern recognition of the urgent needs.In order to further find potential customers in the field of a product,in this paper,based on data mining,combined with a variety of data mining methods,effective a consumer pattern recognition model is established.In this paper,the proposed model can effectively improve the efficiency of recognition.Make full use of the rough set,clustering,the advantages of genetic algorithm and neural network.In this paper,the adopted analysis method,the existing data according to the custom model for clustering,and then to recent data,which can according to the need of mode identification on it.In this paper,we study clustering and classification algorithm in data mining application in specific consumer pattern recognition.First,this paper introduces the related theory and data mining algorithm.Then,on the K-means algorithm,neural network,rough set and genetic algorithms are described in detail.At the same time,the effect of the combination model validation.Starting from the importance of consumer pattern recognition,analysis of customer data is discussed the importance of the application of data mining.According to the actual demand,gives a detailed description of the recognition system.Finally,aiming at whether to buy bank customer designated fund this problem,through the data mining technology to explore analysis in a large amount of data.Modeling steps for data preparation,modeling,model assessment.Finally,the precision and efficiency of several kinds of combination algorithm are analyzed and compared.Finally get effective consumer pattern recognition model.In this paper,the data mining theory combined with actual project,finally achieved recognition system is applied to a bank customer,and made a forecast to its purchase behavior,reflects the great commercial value.Application results show that the recognition model is established by scientific,basically in line with the actual situation,to help policymakers accord to the characteristics of different consumer groups to provide personalized service and make targeted marketing strategy,consumption mode,so you can according to the existing customers to provide better service,unearthed the needs of potential customers at the same time,eventually bring greater benefits for the company.