Design of commercial analysis system based on web information mining
Zhimin Chen · Jisuanji gongcheng yu sheji · 2006
With the rapid growth of information on the web,how to efficiently extract and analyze latent commercial information from semi-structured pages to improve the commercial management has become a hot research issue.Using the existing technologies of web information mining,a new method that could segment topics from information block in order to settle the problem of complex data struc-ture was proposed.With the direction of business entity name dictionary,this method extracted and classified business information.And also a mechanism of credit estimating to insure precision was introduced.Finally,a commercial information analysis system based onweb information mining(CABWIM) wasconstructed.Experiments show this system can efficientlyextract and tidy latentinformation to valuable commercial information.