Fencing Training Decision Support System Based On Data Mining

The amount of information in today's society has an unprecedented increase because of the arrival of the information society. Decision-makers face a more uncertain environment. Because of the open nature of modern sports, the change in the way of information social decision has a profound impact on the decision-making process in the field of sports. Today, the Enterprise Management makers shout"relying on their own decisions have gone"and seek decision support, and the sports sector is also facing the same problem of how to find an appropriate decision support tools. Either macroeconomic policy makers or coaches are paying close attention to the problem in order to seize the nature and make rational and correct decisions of the problem in the vast sports information,Data Mining Techniques that emerged in the mid-1990s, it is research how to intelligently and automatically find the valuable knowledge and information. This is currently very active areas of research. Therefore, this paper will use data mining techniques to fencing training Decision Support System. This subject has an important theoretical significance and far-reaching value.The design and implement of my subject reference to the decision support system of the latest developments both in the Domestic and the Foreign. According to the decision of fencing training, we try to conduct a useful exploration. Finally we combine SQL Server 2000 Data Transformation Services (DTS) with our subject, and described the establishment of a SQL Server data warehouse which data mining was established on, and at last, we use online analytical processing (OLAP) technology .In a word, we have described the overall design, function and method introduced of the fencing training decision support system. Based on the Design and Implementation of software, object-oriented technology to seek ways to software engineering as a guide, carry out in-depth studies on the contents of the design, analysis and implementation.