Research Of Data Mining Algorithm

Data mining is a frequent word in resent years, which means to open out unknown relations and pattern from enormous information warehouse and help corporations reduce unnecessary invest and increace return of funds. Because the characteristics of human's knowledge are incompleteness and uncertain, fuzzy information and fuzzy attribute is frequent in data source. It's difficult to solve this kind of fuzzy concept using traditional analysis methods, but the analysis method of fuzzy mathematics may solve the problem on the beam. Fuzzy theory is used widely in data mining field and many products based on fuzzy theory bring huge social benefit. The primary research work of the paper is as follows:(1) Introduce correlative knowledge of data mining, relational theory of fuzzy mathematics and a kind of analysis method based on AFS theory.(2) Study orders of AFS theory based on AFS theory and get a minimum boundary about orders of El algebra and get the maximum rank of El algebra.(3) Study the practice problems combining the method based of AFS theory to El algebra and apply AFS theory to study practice problems.(4) Analyse and discuss the familiar mathematics methods in data mining field and apply them to practice.