Data Mining And Visualization Based On WEB

Information explosion era， a group of carefully designed， vivid depthinformation pictures often than a long article and more likely to win the favor of theeye. When passing complex information and data， will greatly reduce the timepeople understand complex data analysis to improve the efficiency of information youget. This paper systematically discusses the data mining technology and SVG vectorgraphics technology combined methods were optimized data mining strategy HITSalgorithm to study the fit of these mining algorithms SVG line chart visualizationtechniques. HITS algorithm on the basis of qualifications to join the proposedoptimization strategy， so that the HITS algorithm can meet the actual mining webuser needs.Due to computer hardware and software and Internet development imbalance，leading network hardware and software can not meet the needs of rapid developmentWEB. WEB Network graphical development is relatively slow， especially the resultsof massive data mining to generate SVG graphic visualization of little practical use inthe field， so the proposed WEB SVG technology in data mining is an innovation.This paper mainly for network data mining and visualization WEB research，analyze network data mining techniques in data mining， while， if the data isextracted and converted into a graphical visualization WEB build powerful datamining engine and data mining services market. The greatest innovation of this paperis to network data mining techniques and technologies combined with SVG vectorgraphics， more vivid graphical results will be displayed in front of the user.