Research Of Web Usage Mining Based On Frame Page Filtering And Association Rule

It's a real challenge for us to make Internet easier to use.The information in Internet is in short of organization.and full of a mass of pages,and on the other side,people want to obtain the information quickly and accurately.With the flood of information on the Web,Web mining is a new research issue which draws great interest from many communities.Currently,there is no agreement about Web mining yet.It needs more discussion among scientists in order to define what it is exactly.Web usage data are written down to the user to the data that Web site visited the information,keep a large amount of route information,At these the analyses of information help designer know to fond of and visit and used to it user,And can use and optimize recombinating with the page to the structure of the Web site.So has produced Web usage mining.At first This paper has introduced relevant backgrounds and relevant concepts of Web usage mining.Then research the relevant technologieses of Web usage mining,and tries to improve it in the following aspects: (1)Have proposed during the research of Web usage preprocesstechnology that one kind improves result method of preprocessed--frame page filterstechnology; (2)Association rule mining is a focus of data mining studying,have synthesized one some satisfied primary conditions of need of frequent access page group of interest degree high during the research of this paper,at these condition,propose one frequent access page group strengthens algorithms by improvements group of the interests of result on the basis of tradition association.At last prove with the experiment that the filtration technology improved more suitable for applying with the algorithm of Web usage mining more than the traditional data mining.