The Research On SVM Technology Oriented Data Mining

With the development of the technology in network and communication, mass information crowd in on. How to effectively select what we need becomes more outstanding than ever. Data Mining, as a processing technique, is popular to be used to meet the need. Support Vector Machine (SVM) is a new technology of Data Mining and a new implement recurred to optimization techniques to solve the problems of Machine Learning.At the beginning the concepts, the research state in the world, the application, the process and the basic method of Data Mining are addressed. And next this paper studies the basic knowledge of Statistical Learning Theory. Then this paper stress to introduce SVM, involved of the development history, the state so far, main concepts and the content of research. By analyzing the characteristics of support vectors and the processing of incremental learning, this paper presents a new algorithm of incremental learning. It discards useless samples and keeps the testing accuracy, meanwhile training time is reduced. Numerical and applicable results illustrate that the technique is feasible and effective in the end.