Svm And K-means Algorithm In Ihrs In Research And Application

Along with the technical development of information, each profession is in pass by of some years all backlogging a great deal of data. It' s become an urgently problem how to find out those rules and information that concealed in datum and making decision according them. The data scooped out the technical emergence and developments to provide the emollient support for this. Data Mining is the process that dig out first unknown, but worthy information and knowledge from a great deal of datum, which is not completed.Support Vector Machine (SVM) is a kind of study method that Vapnik and his workmates put forward according to the statistics study theory. It gets a lot of applications in the mode in recent years. Support the vector machine Method under the foundation of the theories of VC and the structure risk minimum principle, look for in of the complexity and the study ability of the model according to the limited sample information the best compromise, and acquire the made-up expansion ability with the period.The SVM resolved the unavoidable partial pole and over study problems in the nerve-network network method, which have compared expansion ability, and avoid few disaster of dimension problem of the high dimension space at the same time. Its calculate way complications has nothing to do with the sample dimension number.Gather an analysis is a kind of to apply the extensive data to scoop out the method, its ability finds out the related characteristic or modes from the data, intuitionistic analyse andThis text mainly clarifies the forecast method in the human resources manage of ERP under the pretreated of datum. Using the Support the Vector Machine (SVM) method to forecast whether the job-seekers who come to the corporation be hired. Using the gather an analysis theory to provide the decision support towards there has been the employee carry on analyze, for the human resource governor.