Design And Implementation Of An Intelligent Credit Rating Data Acquisition System

Our intelligent credit rating data acquisition system aims at acquiring,processing,storing,searching and analyzing automatically with varied credit rating data from the Internet.To build objective credit rating system and offer efficient credit rating service for user,we need data support and guarantee,and mining the value.Hence,design and develop an intelligent credit rating data acquisition system is necessary.The main contribution of the thesis:1)We use web crawler technology and web analysis technology to design and develop a network spider.The network spider collects a huge amount of punish data from all of China.2)Because of the different view techniques of different website,we need to use three kinds of techniques:XPath based technique,WebBrowser based technique,Json based technique.3)Due to the unstructured collected data cannot be easily analyzed,we use pattern matching,N-Gram based Chinese word splitting and data integration techniques to handle the unstructured data to make the unstructured data structural.4)To make users search and analyze conveniently,this thesis design and develop an intelligent credit rating data acquisition system to offer data search and visualized analysis service.The intelligent credit rating data acquisition system which is one of the important risk assessment systems has been successfully applied to several areas.