A visualization system for web retrieved credit information

Information retrieved with traditional method results in linear lists which lack of effective filtration, organization, and aggregation. How to organize and visualize the retrieved information result set effectively and how to provide users with the effective interaction becomes increasingly important. Based on the Information Visualization Model, this paper studies the key technologies. The data clustering methods and suitable display technologies are analyzed. Then, this paper proposes an information visualization model for credit domain, and describes a visualization system for web retrieved credit information. The system can crawl credit related web pages, and after analyzing the characteristics of credit information, SOM-based clustering method is applied to well organize the web pages, and visualization technology is used to present the documents information globally and locally. In this way, user can understand credit information better. At last, examples of visual display for credit information are shown in this paper.