Using Data Mining to Estimate Equivalent Surface of Broadcasting Effect

Data mining is the analysis of large observational data sets to find unsuspected relationships and to summarize the data. With the development of the broadcasting and television monitoring, monitoring data in database have become more and more. People hope that these data are both understandable and useful to future work. Therefore, it is very significant to discuss the specific applications of data mining techniques in the broadcasting monitoring. A data mining solution based on neural networks is presented in this paper. The solution can estimate equivalent face of radio broadcasting effect by data mining. The data mining methods for each of analysis themes and modeling process are described in detail. In the end we analyze and evaluate outcome of data mining.