The Research on Algorithms for Data Mining Based on Fuzzy Theory

Data Mining is a new filed in data processing research. Support Vector Machine (SVM) is one of the new methods using in data mining, which has gained great applicable success. However, there are still plenty of limitations in SVM. For example, SVM won't work if its training set contains fuzzy information. In order to solve the problem presented above, this article discusses the constraining programming of uncertain chance and the characteristic of uncertain classification as well as its expression methods. The algorithm for classifying Support Vector Machine is also included in this article.