Application And Analysis About Data Mining

In the Internet age,with the development of machine learning and artificial intelligence,data-mining has became an important research direction.Along with the growth of data and the gradual maturity of technology,data-mining technology has been fully utilized in the health care,production and sales,insurance,financial industry,logistics management,aviation industry and many other aspects.The application of data-mining technology not only brings great benefits to the enterprise,but also has brought a lot of convenience to people's daily life at the same time.For example,data-mining technology applied to the telecommunication anti-fraud industry makes fraud action hide nowhere,people's daily life consumption will become more “safe”.However,there is still great potential for the development of data-mining in many areas.Theory and algorithm about data-minging is an endless process of research,at the same time,mining complex types of data is also a heavy and complex project,which brought a lot of challenges to the data-mining engineers.Based on the existing data-mining theory,this paper analyzes the application of data mining.Firstly,the paper introduces the concept and function of data mining.Secondly,the paper makes a further extension and extension of the commonly using the theory of data mining,for example,clustering analysis,k-means and other commonly used algorithms.In the end,the paper introduces the application of data mining in Bayesian network through four cases,and analyzing how to find potential hidden links between data: the application of data mining in User Portrait which results are validated using the principles of Python tools and large data user portraits,summing up the general theory of large data user portraits;The basic idea of credit risk score case analysis is to recursively from the root node from top to bottom on sample data set in accordance with certain criteria to select attributes,and then using the logistic regression model to transform the data and using the “dichotomy” to branch.It obtains the model relationship between the lender and the lender's indicators.Data-mining plays an increasingly important role in the daily work life illustrating through the above examples.So,researching data mining is of far-reaching significance.