Application Of Data Mining To Analysis In The Health Care Market

At present, the rapid development of market economy, the each profession development, in the health care market also flourishs increasingly, but in the elderly health care products industry information, scientific and other than a difference of thousands of miles. This resulted in the development of new customer resources very blindly, without rules. In order to effectively develop more new customers resources, according to the German health technology group to provide us with a large number of customer information, analysis, processing, pretreatment, converted to the required information resources. And then through the data mining technology to classify, predict to find can help development of new customer resources of a rule.This article through to the customer resource information analysis, research was found to affect the customer to purchase the product is the most important factor: customer age, income, customer customer disease severity, customer care consciousness. According to these factors using C4.5algorithm to construct the initial decision tree model, and then, by the actual test data based on decision tree model. And then through the data mining algorithms to classify, preliminary forecast. In order to develop customer resources open hair personnel according to the linear map can intuitively grasp how to develop new customer resources, our customers are buying products using linear prediction. Using the method of least squares curve fitting, get an intuitionistic linear graph. According to the linear map client developers to simple, effective, and efficient development of effective customer resources.