Research And Implementation Of Data Visualization Analysis Based On Data Mining

With the development of database technology and the popularization of data application, the quantity of data people have accumulated is growing rapidly, and data that is stored in computer is being huger and huger increasingly. People want to analyze the data so they can obtain knowledge or information, instead of just managing them. So in facing of challenge of "Much data, but little information", there come Data Mining (DM) and Knowledge Discovery in Database (KDD).In recent years, people have done much research work in theory and method of DM, and have developed various kind of DM tools based on it. But these tools haven't met the demand of people in dealing with large-scale set of data. Therefore people begin to try visualization technology in DM. They directly express data with abundant visualization method, and at the same time combine perceive ability peculiarly human being have to help make decision and analysis.In this paper, we put forward concept and implementation method of Data Visualization analysis based on DM. The method uses DM technology to select, to analyze and to predict data, and uses data visualization technology to show data chart. The key questions are database connection, data selection and data visualization. We give the frame of the system and discuss the concept of DM and arithmetic about Recursive Predict combined with its design target.In this paper, we also proposed the designing and implementation of the data visualization system. The system is a successful application for DM and data visualization on Web. It not only offers an important analysis way, but also builds a useful sample for combining technology of Data Mining and Data Visualization. It shows a wide application future.