Data Mining in Nuclear Engineering

Data mining （DM） is a process to find the useful and interesting information in huge data. Support Vector Machine （SVM） is a new technique in data mining, but Support Vector Regression （SVR） is the applying of SM in regression . Compared with the traditional regression methods, SVR has not been specified beforehand, and is fitted directly from the inner relationship of data, thus the simulation results are more accurate. This paper introduces the mathematical theory of SVR and uses SVR to process the data of the moving characteristics of molten metal droplets in serious nuclear engineering accidents.