Application Of Data Mining In Digital Publishing In China

With the advent of the era of big data,all walks of life have achieved great convenience in the collection,transmission and sharing of data.At present,data is no longer just a specific number,it is a non-material product.In the context of the era of big data,the rapid development of information,all kinds of data have their specific existence value.In addition,in recent years,database technology,artificial intelligence,machine learning,information retrieval and other technical methods are constantly evolving,and the application fields of data mining are more and more extensive.Data mining technology can not only collect,organize and analyze data,but also realize the daily management of data,break the traditional information mutual interference situation,and realize the real-time application of data.Nowadays,data mining has been applied to all walks of life in society.The field of digital publishing is no exception.It also has broad market prospects and potential application value.Firstly,based on the literature analysis method,this paper combs the research status of digital publishing and data mining by domestic and foreign scholars,and analyzes the necessity and feasibility of data mining in digital publishing applications in China.Then,this paper focuses on the application examples and existing problems of data mining technology in digital publishing in China.From the perspectives of traditional publishing companies,new Internet companies and cross-border integration,select typical cases for detailed analysis;Through comparative analysis,it is found that the application of data mining in digital publishing in China mainly focuses on precision planning,precision marketing,optimization of R&D process and evaluation of user experience.In addition,the analysis summarizes the problems of data mining technology in digital publishing applications in China,that is,the phenomenon of information mortuary,the quality of digital publications is reduced,and the security of data is neglected.Finally,in order to solve the above problems,this paper puts forward relevant suggestions from three perspectives of users,digital publishing companies and government to promote the healthy and orderly sustainable development of China's digital publishing industry.In addition,this paper also looks into the future application of data mining in the field of digital publishing in China in light of the background of the times.