Research On Multidimensional Data Visualization In Data Mining

Along with the rapid development of database technology and extensive application of database management system, more and more data are accumulated. Inside these quickly increased data there hide much important information, and people hope to go on higher layer analysis in order to facilitate these data better. Present database systems can realize various functions such as recording, query, statistics, and so on, but some relation and regulation among data can't be discovered. Thus the development trend of future can't be forecasted according to current data, and the means that mine hidden knowledge inside data is in lack, which leads to the phenomenon that data is explosive and information is scarce.The development of data mining technology can effectively satisfy the desire of people effectively with the reason that it can analyzes enormous data that abroad exist and transform them into useful information and knowledge. Information and knowledge acquired can be widely used in many fields, such as business management, production control, market analysis, engineer design and science exploring, and so on. The gap between data and information requires the systematic development for data mining tools which transform data tomb to knowledge bullion. People have done a mass of research on the theory and method of data mining recently, based on which many data mining tools have been developed. However, these tools haven't brought about satisfactory mining effect on processing large-scale multi-dimensional data. Therefore, people begin to resort to visualization technology in data mining, which can express multi-dimensional data directly using abundant visualization means, in order to direct the process of mining, and present the outcome of data mining for users in the form of visualization. That is to say, there appears a new direction in data mining field: visual data mining. The objective of visual data mining is to make users browse data and mining process mutually. When irregular things that will be recognized are a serious of graphics but not figure tables, the recognizing speed of people is the most quick. Data visualization and data mining supplement each other, only when these two are intimately attached can intact role be exerted. Data visualization aims at data in database or data warehouse mainly, and visualization can be categorized into unilateral-dimension data visualization, planar-dimension data visualization and multi-dimension data visualization. Generally speaking,...